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<h3>Job Description</h3>
Job Description
🚗 Why us? 
Jerry.ai is a fast-growing, pre-IPO startup on a mission to revolutionize the $2T car ownership industry in the U.S. With $240M in funding, 60X revenue growth in 5 years, and an ambitious plan to become a $10B company, we’re looking for driven individuals to help scale our product.
2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history.
Join a talented team with leaders from NVIDIA, Robinhood, Amazon, Meta, ByteDance, Square, and more, and build one of the most exciting startups in the industry.
And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article.
&amp;#x1F4BB; About the opportunity
We are seeking a purpose-driven Senior Backend Engineer to work on a critical, stealth project on our DriveShield™ team to enhance driver safety and make a real-world impact on the lives of millions. 
You will play a key role in building scalable and high-performance backend systems that power Jerry.ai’s explosive growth. This is an exciting opportunity to be part of the team that that helps us go from 5M to 50M customers and disrupt a $2T market while driving innovation at scale.
🫵 How you will make an impact
<ul>
<li>
Focus more on the non-functional requirements of backend applications, including service availability, scalability, reliability (fault tolerance), and possibly observability and security
</li>
<li>
Oversee system design and architecture to ensure robust and scalable solutions
</li>
<li>
Develop and optimize real-time data processing applications using Kafka and Flink
</li>
<li>
Profile and optimize application performance
</li>
<li>
Focus on the application side, collaborating with data scientists to deploy and integrate models in production
</li>
<li>
Handle data processing, sanitization, validation, and data QA
</li>
</ul>
🚀 Requirements
<ul>
<li>
5+ years of software engineering experience
</li>
<li>
Proficient in at least one core language (e.g., Java, Python, Go, JavaScript)
</li>
<li>
Expertise in Kafka Streams, Flink or similar real-time data processing frameworks 
</li>
<li>
Experience building real-time data processing applications
</li>
<li>
You are known for shipping products and features lightning-fast
</li>
<li>
Startup experience at a high-growth company (nice to have)
</li>
<li>
Bonus if you have previous knowledge of working with geospatial data
</li>
</ul>
Our tech stack 
<ul>
<li>
Java and sometimes Python
</li>
<li>
Stream processing: Kafka and Flink
</li>
<li>
Hosting infra: AWS
</li>
</ul>
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. 
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at <a href="mailto:recruiting@jerry.ai" target="_blank">recruiting@jerry.ai</a>
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. 
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai:
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.&nbsp;
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.&nbsp;
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Senior Backend Engineer

<h3>Job Description</h3>
Job DescriptionAbout LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
 At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
The Solutions Team at LILT
LILT’s Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies.&nbsp; Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT’s overall offering.&nbsp; While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams.&nbsp; Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers.&nbsp; While we’re at it, we have fun and enjoy the ride together.
Where You’ll Work
Get the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position can be based out of our San Francisco, CA or Indianapolis, IN offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.
Authorization to work in the US is a precondition of employment.
What You’ll Do
We're looking for an experienced Solutions AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once.
You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise in sales pursuits to drive LILT customer acquisition and success. You will have a broad range of skills and experience, ranging from global content management lifecycle and a working knowledge of content pipelines and integrations. You will make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection, and the technical skills to build demos, execute proof-of-concepts, and provide consultative assistance on architecture and implementation.
Key Responsibilities:
<ul>
<li>
Serve as the technical co-pilot to LILT Account Executives, managing the customer’s technical experience from scoping (pre-sales) to deployment (post-sales / success)
</li>
<li>
Build and present reference architectures, how-tos, and demo applications for customers
</li>
<li>
Be a subject-matter expert in translation and localization process optimization and best practices
</li>
<li>
Understand and align the customer’s technology stack to optimize localization processes
</li>
<li>
Work cross-functionally to ensure smooth prospect-to-customer transitions and long-term customer success
</li>
<li>
Play an active role in the development and maintenance of customer integrations
</li>
<li>
Develop and iterate on internal processes to ensure consistency across our solutions engagements
</li>
<li>
Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation; specifically the application of AI
</li>
</ul>
Skills and Experience:
<ul>
<li>
At least 4+ years of experience in a technical pre-sales role at a language services, language technology, or content management company
</li>
<li>
Experience working with a complex services-oriented solution
</li>
<li>
Proven ability to communicate, present, and influence effectively at all levels of the organization, including executive and C-level.
</li>
<li>
Experience in localization engineering is highly desirable
</li>
<li>
Familiarity with integrating CMS systems to translation workflows highly desirable
</li>
<li>
Familiarity with Large Language Models, including fine-tuning, highly desirable
</li>
<li>
A passion for technical and solution-based problem solving
</li>
<li>
Analytical approach to intelligence gathering and project planning
</li>
<li>
Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives
</li>
<li>
Keen attention to detail and adherence to deadlines
</li>
<li>
Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment
</li>
<li>
Self-motivated and inspired by a results-driven environment
</li>
<li>
Confidence in communicating technical ideas to various audiences, primarily through presentations, whiteboarding, and platform demonstrations
</li>
<li>
Comfort with a bit of chaos; startup experience is an advantage
</li>
<li>
Ability to work independently and self sufficiently while being part of a team and pursuing team goals
</li>
</ul>
Benefits
 US Postings
<ul>
<li>
Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays
</li>
<li>
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
</li>
<li>
Paid parental leave is provided after 6 months.
</li>
<li>
Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
</li>
</ul>
Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.
Salary range- $115K-$120K
Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.
 
Our Tech
What sets our platform apart:
<ul>
<li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
</li>
<li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
</li>
<li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
</li>
<li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
</li>
</ul>
 LILT in the News
<ul>
<li>
Featured in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $133K - $200K

Solutions AI Architect (Pre-Sales)

<h3>Job Description</h3>
Job Description
Location: San Francisco Bay Area, CA
Overview
The Forward Deployed Software Engineer (FDSE) will be the ultimate problem solver, an elite member of First Resonance's "Delta" FDSE, being deployed to our customers' sites to overcome their most demanding challenges. In this role, you will be working hand-in-hand with customers by getting deeply involved in their operations, understanding their unique problems, and developing tailor-made solutions that integrate seamlessly with ION.
Fired up to support eVTOLs, rockets, robots, and autonomous vehicles makers? As an FDSE, you will directly impact our customers’ ability to achieve these goals by interpreting their needs, developing software solutions from concept to delivery, and ensuring a high level of customer satisfaction. Your days could range from working with a customer's engineers to design a new feature that automates a laborious process to being the point person in debugging an issue blocking their production team.
Responsibilities &amp; Duties
<ul>
<li>
Serve as a deployed technical expert, providing hands-on assistance with the implementation, usage, and further development of ION.
</li>
<li>
Collaborate with customers to understand their most pressing problems to develop coherent strategies &amp; intelligent solutions (build custom web apps, wrangle large-scale data, etc)
</li>
<li>
Have total ownership in developing and managing the delivery of solutions, while maintaining high levels of customer satisfaction.
</li>
<li>
Write clean, scalable, and easily maintainable code across the stack
</li>
<li>
Work in small teams, taking ownership of end-to-end execution of high-stakes projects
</li>
<li>
Collaborate with the First Resonance team to continuously improve the product based on customer feedback and requirements.
</li>
</ul>
Minimum Qualifications &amp; Skills
<ul>
<li>
Strong engineering background in fields like Computer Science, Mathematics, Software Engineering, Physics, or Data Science
</li>
<li>
Excellent communication and interpersonal skills, with a strong ability to build relationships with different stakeholders (customers, their leadership and First Resonance teams)
</li>
<li>
Experience shipping production quality code
</li>
<li>
Ability to collaborate effectively with both technical and non-technical individuals in dynamic environments
</li>
<li>
Willingness to travel up to 40% to customer sites, as needed.
</li>
</ul>
Desired Qualifications
<ul>
<li>
Experience in manufacturing, as Product Manager, or Lead Engineer
</li>
<li>
Experience with Python and/or React (Typescript)
</li>
<li>
Experience or curiosity in working with large-scale data to solve customer-facing problems
</li>
<li>
Comfortable working in a fast-paced, startup-like atmosphere with an entrepreneurial spirit
</li>
</ul>
Benefits &amp; Perks
<ul>
<li>
Health Insurance; medical, vision, dental, &amp; life insurance.
</li>
<li>
Paid Parental Leave.
</li>
<li>
Employee Stock Option Plan.
</li>
<li>
Team outings, group lunches, open office, happy hours.
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<li>
Paid holidays, sick days.
</li>
<li>
Flexible Friday and PTO.
</li>
<li>
401K.
</li>
</ul>
First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce.&nbsp;
First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S.
Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location.&nbsp;
First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery.
Compensation Range: $145K - $175K

Forward Deployed Software Engineer (San Francisco)

<h3>Job Description</h3>
Job Description
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
Overview
Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.
Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About the Role
Crusoe is building its next-generation orchestration platform to power GPU-accelerated and high-performance computing at scale. As a Staff Software Engineer on the Managed Orchestration team, you will shape the technical direction of our managed Kubernetes service, delivering systems that allow customers to run advanced workloads across CPUs, NVIDIA and AMD GPUs, and high-performance networking environments.
You’ll drive architecture and design for complex, distributed systems that integrate GPU operators, network operators, and CNI technologies (Cilium, Calico, Multus) with Kubernetes, while also supporting high-performance fabrics such as InfiniBand and RoCE. This role requires a blend of deep technical expertise, architectural leadership, and the ability to influence cross-functional teams to deliver reliable, scalable, and secure orchestration for mission-critical workloads.
What You’ll Do
<ul>
<li>
Lead architecture and design for core features of Crusoe’s Managed Kubernetes platform (multi-tenancy, control plane scalability, cluster lifecycle, and high availability).
</li>
<li>
Drive integration of GPU acceleration in Kubernetes, including device plugin architecture, GPU operators, scheduling, autoscaling, and monitoring.
</li>
<li>
Guide development of advanced container networking capabilities, including CNI plugins, network operators, service meshes, and high-performance fabrics (InfiniBand, RoCE).
</li>
<li>
Define and enforce best practices for security, multi-cluster deployments, and workload isolation across compute, GPU, and networking layers.
</li>
<li>
Partner with product and engineering leadership to set long-term technical strategy and roadmap for CMK.
</li>
<li>
Mentor engineers across the organization, providing technical guidance and elevating standards for design, code quality, and operational excellence.
</li>
<li>
Troubleshoot and resolve complex distributed systems challenges spanning compute, networking, and GPU acceleration.
</li>
<li>
Contribute to and represent Crusoe in open-source communities (Kubernetes SIGs, CNCF projects, GPU and networking ecosystem).
</li>
</ul>
What We’re Looking For
<ul>
<li>
8+ years of software engineering experience in distributed systems, cloud, or HPC.
</li>
<li>
Proven track record of technical leadership and driving architecture in production systems.
</li>
<li>
Deep expertise in Kubernetes internals (control plane, operators, API machinery, scheduling).
</li>
<li>
Strong proficiency in Go (preferred) or another systems language (Rust, C++, Python for HPC tooling).
</li>
<li>
Extensive experience with GPU integration in Kubernetes (device plugins, GPU operators, resource allocation).
</li>
<li>
Strong knowledge of container networking (Cilium, Calico, Multus, service meshes) and Linux networking fundamentals.
</li>
<li>
Familiarity with high-performance networking technologies (InfiniBand, RoCE) and accelerator-aware scheduling.
</li>
<li>
Excellent debugging, systems design, and problem-solving skills in distributed systems.
</li>
</ul>
Bonus Points
<ul>
<li>
Familiarity with both NVIDIA and AMD GPU stacks (CUDA, ROCm, NCCL).
</li>
<li>
Experience with Slurm, MPI, Ray, or distributed ML frameworks (TensorFlow, PyTorch, JAX).
</li>
<li>
Contributions to open-source projects in the Kubernetes, GPU, or networking ecosystems.
</li>
<li>
Experience scaling multi-cluster environments and managing interconnects across data centers.
</li>
</ul>
Background in security for Kubernetes and GPU workloads (RBAC, PodSecurity, runtime scanning).
Compensation Range:
Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Staff Software Engineer, Managed Orchestration (Kubernetes)

<h3>Job Description</h3>
Job Description
At Turion Space, you'll join a dynamic team dedicated to pioneering space technology and innovation. As a Senior Software Engineer, you'll architect the systems that control spacecraft in orbit, build the AI infrastructure that makes satellites autonomous, and create the platform that will power the commercial space economy.
This isn't just another SaaS job. You'll build Mission Control systems that operators use to command real satellites, process downlinks from space, and make split-second decisions that affect millions of dollars of hardware flying at 17,500 mph.
What You'll Actually Build:
Next-Generation Mission Control Systems
<ul>
<li>
Architect the future of spacecraft operations—think SpaceX-level mission control, but as a platform for the entire industry
</li>
<li>
Build real-time systems that visualize satellite constellations, predict orbital mechanics, and automate complex mission sequences
</li>
<li>
Create interfaces that let operators control multiple spacecraft simultaneously with the ease of managing cloud infrastructure
</li>
<li>
Design systems that scale from single satellites to mega-constellations of thousands
</li>
</ul>
Mission Intelligence &amp; Automation
<ul>
<li>
Support autonomous operations - Support ML models for real-time debris avoidance, anomaly detection, and autonomous retasking based on threats or opportunities
</li>
<li>
Integrate space domain awareness ML - Detect and characterize unknown satellites, track missiles, and identify adversarial maneuvers using computer vision and RF fingerprinting
</li>
<li>
Scale to millions of objects - Build hyper-performance systems tracking everything from debris to spacecraft across multiple sensor modalities
</li>
<li>
Universal Autonomy Platform - Create APIs that let any company add autonomous capabilities to their operations, making autonomous operations the industry standard
</li>
</ul>
The Commercial Space Platform
<ul>
<li>
Build the end-to-end platform powering Turion's commercial operations and our customers'
</li>
<li>
Design APIs for satellite tasking that let customers request imagery as easily as calling an Uber
</li>
<li>
Architect uplink/downlink processing systems that handle terabytes of space data daily
</li>
<li>
Create the infrastructure for mission planning across constellations—coordinating Earth observation, non-Earth imaging, and communications satellites
</li>
<li>
Build the Stripe/AWS of space—the platform every space company will use to operate their missions
</li>
</ul>
Your Mission: Lead the engineering effort to transform how humanity operates in space. You'll own the full stack—from React interfaces that operators love, to distributed systems processing satellite commands, to APIs that make space accessible to any developer. Your code will literally control spacecraft and enable missions that protect national security, monitor climate change, and expand human presence beyond Earth.
Key Responsibilities:
<ul>
<li>
Lead the software engineering process from concept to orbit-ready systems, setting technical direction for products that operate spacecraft
</li>
<li>
Mentor and guide a team of engineers building some of the most complex software on (and off) Earth
</li>
<li>
Engage with satellite operators and mission planners to understand their needs, turning space operations challenges into elegant software solutions
</li>
<li>
Architect mission-critical systems including next-gen Mission Control, AI inference platforms, and commercial space APIs
</li>
<li>
Build and maintain APIs that let any developer integrate space capabilities into their applications
</li>
<li>
Collaborate with cross-functional teams including Astrodynamics, Flight Software, Hardware, AI researchers, and spacecraft operators
</li>
<li>
Drive architectural decisions for systems that must be more reliable than traditional tech—there's no re-deploying a satellite
</li>
<li>
Deliver solutions that simplify space operations, making controlling satellites as intuitive as deploying to AWS
</li>
</ul>
Minimum Qualifications:
<ul>
<li>
Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
</li>
<li>
5+ years of software development experience, with a track record of leading projects or teams
</li>
<li>
Expertise in full-stack development and proven ability to design, build, and test complex systems
</li>
<li>
Experience with cloud-native architectures, microservices, and distributed systems
</li>
<li>
Ability to be on call for mission-critical operations (yes, satellites don't sleep)
</li>
<li>
Must be able to obtain Secret and/or TS/SCI clearance
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Proficiency in Go, Python, or JavaScript/TypeScript, with strong API development experience
</li>
<li>
PostgreSQL, Clickhouse, or MySQL expertise—our satellites generate a lot of telemetry
</li>
<li>
Advanced React knowledge for building operator interfaces that visualize space in real-time
</li>
<li>
Production experience with systems that can't go down
</li>
<li>
Familiarity with NoSQL databases for handling unstructured data
</li>
<li>
Kubernetes experience
</li>
<li>
AWS experience (EKS, EC2, Batch, S3, Lambda)
</li>
<li>
Experience with data engineering and real-time processing
</li>
<li>
Passion for space exploration and building humanity's future beyond Earth
</li>
</ul>
Why This Role is Different:
<ul>
<li>
Your code will command actual spacecraft in orbit
</li>
<li>
You'll build the Mission Control that every space startup dreams of having
</li>
<li>
The AI systems you integrate will make satellites truly autonomous for the first time
</li>
<li>
You're not building another B2B SaaS—you're building the operating system for the space economy
</li>
</ul>
The Bottom Line: While others debate microservices vs monoliths, you'll be architecting systems that guide satellites through space. While they optimize database queries, you'll be processing downlinks from orbit. While they A/B test button colors, you'll be building interfaces that help operators prevent satellite collisions.
If you've ever watched a SpaceX launch and thought "I want to build the software that makes that possible"—this is your chance. Join us in making space operations as elegant as the best consumer software, except our users are flying spacecraft.
ITAR Requirements:
This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Benefits: We offer a comprehensive compensation and benefits package designed to support the well-being and professional growth of our employees. In addition to a competitive base salary and company stock, determined by factors such as job-related knowledge, education, skills, experience, and market demand, full-time employees are eligible for:​
<ul>
<li>
Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their dependents. ​
</li>
<li>
Retirement Plans: Access to a 401(k) plan to help you plan for your future. ​
</li>
<li>
Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge. ​
</li>
<li>
Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
</li>
<li>
Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment. ​
</li>
</ul>
We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well-being and satisfaction of each individual.
Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Compensation Range: $140K - $213K

Senior Software Engineer

<h3>Job Description</h3>
Job DescriptionWho We Are:
At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
About the Role
As a Product Backend Engineer at TwelveLabs, you’ll architect scalable APIs and systems to power our AI video platform. You’ll collaborate with cross-functional teams to integrate video foundation models, optimizing for performance and adaptability in a dynamic startup environment. While this is a hybrid role based at our San Francisco headquarters, remote work is available for candidates currently residing in California or Washington State. Please note that remote employees will need to travel to the office for team meetups or other events as needed.
In this role, you will
<ul>
<li>
Design and implement scalable RESTful APIs adhering to OpenAPI specifications, powering features like video search, generation, and embedding, integrated with model inference pipelines.
</li>
<li>
Architect high-throughput, service-oriented backend systems to support enterprise-grade SaaS solutions for diverse customers, leveraging cloud-native tools (e.g., AWS, GCP, Azure).
</li>
<li>
Optimize performance and reliability of distributed systems, processing large-scale video data with low latency and high availability.
</li>
<li>
Collaborate with cross-functional teams (product managers, frontend engineers, AI/ML teams) to deliver end-to-end video solutions.
</li>
<li>
Apply video-specific technologies (e.g., encoding, transcoding, streaming, metadata extraction) to enhance product capabilities and meet strategic goals.
</li>
</ul>
You may be a good fit if you have:
<ul>
<li>
Experience: 10+ years of backend engineering experience, with a proven track record of designing and delivering scalable web services and APIs.
</li>
<li>
API Expertise: Advanced proficiency in designing and implementing RESTful APIs, adhering to OpenAPI/Swagger specifications, with experience in modern frameworks (e.g., Go’s Gin or Echo, Spring Boot, or similar).
</li>
<li>
Technical Expertise: Deep expertise in service-oriented architecture (SOA), microservices, and distributed systems, with strong knowledge of scalable database design (e.g., relational, NoSQL) and effective use of event-driven architecture.
</li>
<li>
Cloud Proficiency: Extensive experience with cloud-native development and deployment on platforms like AWS, GCP, or Azure, leveraging tools such as Docker, Kubernetes, or serverless frameworks to ensure scalability and resilience.
</li>
<li>
Analytical &amp; Collaborative Skills: Strong first-principles thinking to address complex technical challenges, combined with effective communication skills and a collaborative approach to working with cross-functional teams.
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
AI/ML Familiarity: Strong understanding of AI/ML concepts, particularly related to video analysis (e.g., object detection, motion tracking, or video summarization), and experience integrating backend systems with AI models or data pipelines.
</li>
<li>
Video Technology Experience: Hands-on knowledge of video-specific tools and frameworks (e.g., FFmpeg, AWS Media Services) to support video processing workflows.
</li>
<li>
Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility
</li>
<li>
Go Proficiency: Proficiency with Go (Golang) and its ecosystem, aligning with team preferences.
</li>
<li>
DevOps Practices: Exposure to CI/CD pipelines and observability tools (e.g., Prometheus, Grafana) for building and monitoring scalable systems.
</li>
</ul>
Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
Benefits and Perks
🤝 An open and inclusive culture and work environment.
🧑️‍&amp;#x1F4BB; Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
🦷 Full health, dental, and vision benefits.
✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
🛂 VISA support (such as H1B and OPT transfer for US employees).
Compensation Range: $170K - $190K

Staff Software Engineer, Backend

<h3>Job Description</h3>
Job Description
✨ About us ✨
Photoroom was launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our mission is clear: to create the best visuals for your commerce.
 Photoroom puts the power of great images into more people's hands through our powerful and innovative features, from our best-in-the-world background remover to our generative AI model and tools: AI Images, AI Backgrounds and Shadows, AI Expand, and many more.
 Processing over 5 billion images a year and downloaded over 200 million times, Photoroom is now the world's #1 AI photo-editing app, available across mobile, web, and via an API in over 180 countries.
 Photoroom is a profitable, remote-friendly company headquartered in Paris with a global team of over 100 world-class deep learning, product, and marketing experts with backgrounds at the world's best companies. We are a diverse team of entrepreneurs building for entrepreneurs.
TL;DR
🤓 We are looking for our first US-based Solutions Engineer with a strategic mindset and a proactive approach.
Over the past 2 years, we’ve been expanding and partnering with more—and larger—Enterprise customers like Netflix, Wix, and DoorDash.
As Photoroom's Founding Solutions Engineer for the US market, you’ll play a critical role in driving the success of our Enterprise customers. You'll serve as a trusted technical partner to our Sales and Partnerships team, helping prospects and clients understand how Photoroom’s solutions can transform their visual workflows. You'll leverage our existing technical playbook and proactively contribute to its improvement by tailoring it to the specificities of the US market.
The majority of our Enterprise customers integrate via our API, so this role requires a strong technical foundation along with the ability to communicate clearly and confidently with both developers and business stakeholders.
&amp;#x1F4B0; $150-190k + Stock-Options/BSPCE
🇪🇺 We are flexible, but you must be within 1.5 hours of travel time from NYC for bi-monthly in-person gatherings. 
✈️ You will need to come to Paris (fully paid by Photoroom) every quarter or come more often if you like.
&amp;#x1F4BB; Technology - MacBook Pro, monitor, keyboard, etc.
🏖️ Socials - Annual company retreat &amp; quarterly kick offs in Paris
🇬🇧 Photoroom is an international team, and we work in English. We offer language lessons for those who need them (English &amp; French).
✨ About the role ✨
<ul>
<li>
You will partner with the Sales team to lead technical discovery, run demos, and build proofs of concept that showcase the value of our platform.
</li>
<li>
You will act as a trusted technical advisor to prospective and existing enterprise customers.
</li>
<li>
You will design and propose tailored integration solutions based on each customer’s tech stack, goals, and product roadmap.
</li>
<li>
You will own the technical implementation experience—from onboarding to deployment—ensuring a smooth and efficient integration process.
</li>
<li>
You will create high-quality documentation, including API references, integration guides, and tutorials.
</li>
<li>
You will capture customer feedback and collaborate with Product and Engineering to inform our roadmap.
</li>
<li>
You will identify and document common use cases, integration patterns, and troubleshooting steps to enable internal teams.
</li>
</ul>
✨ About you ✨
<ul>
<li>
You have 5+ years of experience in a technical pre-sales, solutions engineering, or customer-facing technical role, ideally within a SaaS or API-first company.
</li>
<li>
You have hands-on experience working with RESTful APIs and are proficient in tools such as Postman, Swagger/OpenAPI, and basic scripting or integration logic.
</li>
<li>
You have hands-on coding experience with languages such as Python, JavaScript, or similar, and can write scripts, build proof-of-concept integrations, and troubleshoot technical implementations alongside customers and internal teams.
</li>
<li>
You’ve created technical documentation, integration guides, or implementation playbooks, and can explain complex concepts clearly to both technical and non-technical audiences.
</li>
<li>
You’re confident in running live demos and technical deep dives with stakeholders across engineering, product, and business functions.
</li>
<li>
You can independently scope and propose integration solutions based on a client’s tech stack, requirements, and constraints.
</li>
<li>
You have a track record of collaborating closely with engineering teams to relay customer feedback and influence the product roadmap.
</li>
<li>
You manage multiple projects simultaneously and consistently deliver on time with a high level of attention to detail.
</li>
<li>
You are fluent in English (written and spoken); fluency in other languages is a plus.
</li>
<li>
Bonus: You have experience with computer vision, ML-based image generation, or media infrastructure (e.g., working with images, graphics, or content delivery pipelines).
</li>
</ul>
✨ Hiring Process ✨
<ul>
<li>
Screening call with the Talent Manager
</li>
<li>
Technical interview with the Hiring Manager
</li>
<li>
Home technical assignment, and if we move forward, it will be followed by a review with the team 
</li>
<li>
Culture fit interview and meet the team!
</li>
<li>
Reference check &amp; Offer
</li>
</ul>
Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
🌈 Diversity, Equity, Inclusion and Belonging
We are committed to enabling everyone to feel included and valued at the workplace. We believe both the company and its culture are strongest when composed of diverse experiences and backgrounds.
That's why:
- We have flexible working hours
- We trust people to work remotely
- We extended the length of the parental leave
All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Founding Solutions Engineer (US)

<h3>Job Description</h3>
Job DescriptionWho is Flock?
Flock Safety is an all-in-one technology solution to eliminate crime and keep communities safe. Our intelligent platform combines the power of communities at scale - including cities, businesses, schools, and law enforcement agencies - to shape a safer future together. Our full-service, maintenance-free technology solution is trusted by communities across the country to help solve and deter crime in the pursuit of safer communities for everyone.
Our holistic public safety platform is comprehensive and intelligent, providing the actionable evidence needed to solve, deter and reduce crime across neighborhoods, schools, businesses and entire cities. Without compromising transparency or privacy, we are turning unbiased data into objective answers.
Flock strives to offer a career-defining experience where you can also make an impact on your community. While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fulfilling relationships even when we are physically apart. Our group of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded.&nbsp;
We have raised over $700M in venture capital from investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Bedrock Capital, Meritech Capital Partners, and Initialized Capital. Now surpassing a $7.5B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
The Opportunity 
We’re seeking a Solution Deployment Engineer to join our high-performing presales deployment team. In this role, you’ll be on the front lines of customer deployments — solving complex technical problems, ensuring seamless implementations, and setting the standard for quality and expertise in the field.
You’ll own customer engagements end-to-end, working closely with Sales, Product, and Customer Success to deliver technical solutions that directly support our mission. If you thrive on rolling up your sleeves, building scalable solutions, and working directly with customers, this role is for you.
What You’ll Do:
<ul>
<li>
Execute technical solution design and deployment for key customer engagements across the U.S.
</li>
<li>
Serve as a trusted technical advisor, ensuring deployments align with customer needs and product capabilities.
</li>
<li>
Troubleshoot and resolve complex technical challenges in real time.
</li>
<li>
Contribute to team knowledge by documenting best practices and sharing lessons learned.
</li>
<li>
Partner cross-functionally with Sales, Product, and Customer Success to support customer goals.
</li>
<li>
Maintain deep technical knowledge of Flock Safety’s products and competitive solutions.
</li>
<li>
Represent the company at customer meetings, field visits, and industry events.
</li>
<li>
Provide feedback to improve internal processes, tools, and deployment methodologies.
</li>
</ul>
The Skillset 
<ul>
<li>
2+ years of experience in technology presales, solution engineering, or deployment engineering (or equivalent).
</li>
<li>
Proven track record of hands-on technical delivery in customer-facing roles.
</li>
<li>
Strong troubleshooting skills with the ability to stay calm under pressure.
</li>
<li>
Excellent communication and presentation skills with both technical and non-technical audiences.
</li>
<li>
Comfortable working in a fast-paced, evolving environment with shifting priorities.
</li>
<li>
Consultative by nature — you enjoy solving problems and building customer-focused solutions.
</li>
</ul>
Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
90 Days at Flock
We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe to 90 day plans and believe that good days, lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety.
The First 30 Days
Build foundational knowledge of products, processes, and customer needs while beginning to contribute to technical work.
<ul>
<li>
Complete deep-dive onboarding into Flock Safety’s product portfolio, competitive landscape, and value proposition.
</li>
<li>
Shadow fellow SDEs and Sales Engineers in live customer opportunities and deployments.
</li>
<li>
Observe and document customer workflows, pain points, and success factors.
</li>
<li>
Review existing deployment playbooks, tools, and processes.
</li>
</ul>
The First 60 Days 
Transition from observation to execution — take ownership of deployments, apply best practices, and identify improvements.
<ul>
<li>
Lead technical deployment for a set of customer engagements, from design through implementation.
</li>
<li>
Partner with Sales on presales technical scoping and solution design for high-value deals.
</li>
<li>
Troubleshoot complex technical challenges in the field with minimal oversight.
</li>
<li>
Attend customer meetings or field visits as the primary technical point of contact.
</li>
</ul>
90 Days &amp; Beyond 
Demonstrate measurable customer and business impact as a trusted technical expert; establish yourself as a go-to engineer in the field
<ul>
<li>
Independently lead complex customer deployments that showcase technical expertise and customer-first execution.
</li>
<li>
Represent the company at trade shows, industry events, or high-profile customer meetings.
</li>
<li>
Run retrospectives on deployments to capture lessons learned and propose improvements.
</li>
</ul>
Actively contribute feedback loops to Product, CS, and Sales to strengthen cross-functional alignment. 
The Interview Process 
We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way. 
<ol>
<li>
Our First Chat: During this first conversation, you’ll meet with a recruiter to chat through your background, what you could bring to Flock, what you are looking for in your next role, and who we are. 
</li>
<li>
The Hiring Manager Interview: You will meet with your potential future boss to really dive into the role, the team, expectations, and what success means at Flock. This is your chance to really nerd out with someone in your field. 
</li>
<li>
The Panel: Learn more about the team, responsibilities, and workflows. You should be prepared to speak about past projects, how you collaborate and communicate with others, and how you live our values. Depending on the team and role you are interviewing for, you may meet with several teammates as well as cross-functional partners.
</li>
</ol>
Salary &amp; Equity
In this role, you’ll receive a salary up to $70,000 - $94,000 as well as Flock Safety Stock Options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat.
The Perks
🌴Flexible PTO: We seriously mean it, plus 11 company holidays.
⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.
🍼Fertility &amp; Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. In 2025, Flock will provide a $ 50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.
💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
💚ERGs: We want all employees to thrive and feel like they belong at Flock. We offer four ERGs today - Women of Flock, Flock Proud, LEOs and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.
&amp;#x1F4BB;WFH Stipend: $150 per month to cover the costs of working from home.
📚Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at <a href="mailto:recruiting@flocksafety.com" target="_blank">recruiting@flocksafety.com</a>. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level. 
Compensation Range: $70K - $94K

Solution Deployment Engineer

<h3>Job Description</h3>
Job Description
Turion Space is building spacecraft for national security and in-space operations — and the ground systems to support them. From debris removal to space domain awareness to building a more secure space economy, we are a team focused on getting real hardware and software to orbit, operate, and scale fast. 
We are seeking a highly skilled and passionate Software Engineer, MLOps to join our visionary AI/ML team to drive the operationalization of our machine learning initiatives. In this role, you’ll be critical and instrumental in bridging the gap between cutting-edge ML research and robust, scalable, production systems. If you thrive on building and optimizing workflows and are passionate about building resilient infrastructure that powers the future of AI in space and ensures continuous delivery of high-performing models and algorithms, we encourage you to apply.
Responsibilities:
<ul>
<li>
Develop, implement, and maintain end-to-end machine learning pipelines, encompassing data ingestion, model training, validation, deployment, and monitoring
</li>
</ul>
<ul>
<li>
Architect, build, and manage scalable and reliable cloud-native infrastructure for ML workloads using technologies like Kubernetes, Kubeflow, and Docker on platforms such as AWS and Azure
</li>
</ul>
<ul>
<li>
Build and optimize robust deployment strategies for machine learning models, including containerization and serving using tools like KServe and custom APIs
</li>
</ul>
<ul>
<li>
Establish comprehensive monitoring, logging, and alerting systems for model performance, data drift, and infrastructure health to ensure the reliability and stability of deployed models
</li>
</ul>
<ul>
<li>
Implement and manage continuous integration and continuous delivery (CI/CD) pipelines (e.g., using GitLab and Pytest) for automated testing, deployment, and version control of ML code and models
</li>
</ul>
<ul>
<li>
Advocate best practices for ML model and reducibility, versioning, and governance.
</li>
</ul>
<ul>
<li>
Collaborate closely with data scientists, ML researchers, and software engineers to translate research prototypes into production-ready solutions and provide technical guidance on MLOps best practices
</li>
</ul>
<ul>
<li>
Identify and implement optimizations for ML workflows, infrastructure, and model inference to improve efficiency and reduce operational costs
</li>
</ul>
Qualifications:
<ul>
<li>
Bachelor's degree with equivalent practical experience
</li>
</ul>
<ul>
<li>
Proven professional experience in MLOps, Machine Learning Engineering, or DevOps roles with a strong focus on operationalizing ML models
</li>
</ul>
<ul>
<li>
Expertise in MLOps platforms and tools such as Kubernetes, Kubeflow, KServe, Docker, and Azure MLOps
</li>
</ul>
<ul>
<li>
Experience with major cloud providers (AWS, Azure) for deploying and managing ML workloads
</li>
</ul>
<ul>
<li>
Strong understanding and practical experience with CI/CD principles and tools (e.g., GitLab, Pytest).
</li>
</ul>
<ul>
<li>
Fluent in Python; proficiency in SQL
</li>
</ul>
<ul>
<li>
Excellent communication, creative problem-solving, and team collaboration skills
</li>
</ul>
ITAR Requirements:
This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Benefits: We offer a comprehensive compensation and benefits package designed to support the well-being and professional growth of our employees. In addition to a competitive base salary and company stock, determined by factors such as job-related knowledge, education, skills, experience, and market demand, full-time employees are eligible for:​
<ul>
<li>
Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their dependents. ​
</li>
<li>
Retirement Plans: Access to a 401(k) plan to help you plan for your future. ​
</li>
<li>
Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge. ​
</li>
<li>
Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
</li>
<li>
Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment. ​
</li>
</ul>
We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well-being and satisfaction of each individual.
Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Compensation Range: $160K - $190K

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