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<h3>Job Description</h3>
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. 
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Senior Software Engineer on the Embedded team, you'll be contributing to the core software components that drive Serve throughout cities. We’re looking for a self-driven engineer who’s passionate about building the future of autonomous delivery!
Responsibilities
<ul>
<li>
Develop software for robot powertrain components and functions.
</li>
<li>
Design and implement systems for measuring system performance and efficiency.
</li>
<li>
Work closely with systems, electrical, and mechanical teams to architect robust cross-functional solutions.
</li>
<li>
Support integration of new hardware components and bringup of new platforms.
</li>
<li>
Provide technical leadership and mentorship to other team members.
</li>
</ul>
 Qualifications
<ul>
<li>
Bachelor's degree in Computer Engineering, Electrical Engineering, or a related field.
</li>
<li>
5+ years experience developing production C++ code (C++17 and newer preferred).
</li>
<li>
Experience developing embedded software targeting both Linux and RTOS.
</li>
<li>
Experience developing systems with safety and real-time requirements.
</li>
<li>
Experience implementing feedback control systems.
</li>
<li>
Experience with communication interfaces including CAN, UART, I2C, and Ethernet.
</li>
<li>
Track record of taking vaguely defined problems and converting them into robust production solutions.
</li>
</ul>
What makes you stand out
<ul>
<li>
Master's degree in Computer Engineering, Electrical Engineering, or a related field.
</li>
<li>
Experience in mobile robotics or electric vehicle development.
</li>
<li>
Comfortable working hands on with electronics, motors, and batteries.
</li>
<li>
System modeling and control system design experience.
</li>
<li>
Understanding of electric motors and their control methods.
</li>
<li>
Vehicle dynamics knowledge is a bonus.
</li>
</ul>
Compensation Range: $150K - $200K

Sr. Embedded Software Engineer, Powertrain

<h3>Job Description</h3>
Job DescriptionAbout The Diffuse Project:
The Diffuse Project is dedicated to advancing our understanding of protein motion through the use of diffuse scattering – a signal in X-ray crystallography that is currently under-utilized or ignored, that will unlock our ability to measure protein dynamics. We are bringing together a diverse team of researchers, software developers, and beamline scientists to accomplish our mission. We are committed to Open Science principles of making all of our work, software, and data open and FAIR all along the way. The Diffuse Project is generously funded by and is part of the Astera Institute. You can read more about The Diffuse Project here, and Astera’s mission, vision, and programming here.
Position Summary:
The Diffuse Project is seeking a Machine Learning Scientist to join a multidisciplinary team developing machine learning methods to extract hidden functional states from experimental structural biology data (i.e. electron density, structure factors, diffraction patterns, etc.). We are particularly interested in applicants with deep expertise in generative modeling, reinforcement learning, or representation learning who are excited to apply these approaches to real-world structural data. We aim to develop a new generation of tools that treat experimental data as central inputs to model training, validation, and discovery. This role is part of a highly interdisciplinary team of machine learning experts, structural biologists, and biophysicists.
Key Responsibilities:
<ul>
<li>
Design, train, and deploy open-source ML models that learn directly from experimental X-ray crystallography data (structure factors, electron density, diffraction patterns) for conformational ensemble modeling
</li>
<li>
Develop and benchmark metrics for conformational ensemble modeling and comparison against experimental data
</li>
<li>
Maintain data pre-processing and organization for ML models
</li>
<li>
Collaborate with domain scientists to integrate outputs with experimental pipelines and refine hypotheses in an iterative design–test–learn loop
</li>
</ul>
Experience and Skills:
<ul>
<li>
Strong background in linear algebra, statistics, probability theory, optimization methods, and deep learning architectures
</li>
<li>
Hands-on experience with generative models (e.g., diffusion, flow models), representation learning (e.g., contrastive learning, GNNs), or reinforcement learning (e.g., policy gradient, actor-critic)
</li>
<li>
Proven ability to build and debug large-scale ML algorithms
</li>
<li>
Familiarity with structural biology, protein dynamics, or physics-based modeling
</li>
<li>
Ability to work effectively in a multidisciplinary team environment
</li>
<li>
Familiarity with Pytorch
</li>
</ul>
Education and Certifications:
MS, or PhD in Data Science, Computer Science, Bioinformatics, Biophysics, Computational Chemistry, or related field. with at least two years of experience working on ML models
Location:
This role is Remote, with access to our office located in Emeryville, CA. Some travel may be required from time-to-time for in-person collaboration and work.
Compensation:
The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.
Compensation Range: $160K - $300K

Machine Learning Scientist - Diffuse

<h3>Job Description</h3>
Job DescriptionAbout Prima Mente
Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.&nbsp;
Role focus - Biological Data Infrastructure at Petabyte Scale
Key Tasks:
<ul>
<li>
Owning and scaling our data infrastructure by several orders of magnitude to handle &gt; 100 petabyte-scale multi-omic datasets, including data pipelines, distributed data processing, and storage systems
</li>
<li>
Building a unified feature store for all our ML models and biological data analysis workflows
</li>
<li>
Efficiently storing and loading petabytes of data for ML bio data
</li>
<li>
Processing and storing predictions and evaluation metrics for large-scale biological forecasting and analysis models
</li>
<li>
Implementing data versioning and point-in-time correctness systems for evolving biological datasets
</li>
<li>
Building observable, debuggable data pipelines that handle the complexity of multi-omic data sources
</li>
</ul>
Expected Growth
In 1 month you will be responsible for:
<ul>
<li>
Analyzing current data infrastructure bottlenecks.
</li>
<li>
Implementing initial optimizations to existing pipelines.
</li>
<li>
Beginning work on scaling our feature store infrastructure for ML models.
</li>
</ul>
In 3 months you directly own and have created:
<ul>
<li>
Key components of our data processing systems.
</li>
<li>
Prototype streaming pipelines for real-time data ingestion.
</li>
<li>
Designs of our unified feature store architecture.
</li>
</ul>
In 6 months you have implemented:
<ul>
<li>
High-performance petabyte-scale data infrastructure.
</li>
<li>
Data versioning and point-in-time correctness systems.
</li>
<li>
Measurable improvements in data processing throughput and reliability.
</li>
</ul>
Why Join Us:
<ul>
<li>
Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.
</li>
<li>
Innovation &amp; Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.
</li>
<li>
Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
</li>
<li>
Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.
</li>
</ul>
Culture Insight&nbsp;
What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.
Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.&nbsp;
We arrange our lives so we can work in person as much as possible.&nbsp;
Our Values&nbsp;
<ul>
<li>
Exceptional performance at exceptional pace
<ul>
<li>
The solutions we build demand uncompromising quality and rigour.
</li>
<li>
The problems we are solving are grave and present.
</li>
</ul>
</li>
<li>
Inquisitive discovery
<ul>
<li>
We embrace curiosity and creativity.
</li>
<li>
Every question is a path to a transformational breakthrough.
</li>
</ul>
</li>
<li>
Radical candour
<ul>
<li>
We practice unwavering honesty and transparency in all our challenges and interactions.
</li>
</ul>
</li>
<li>
Purposeful individuality
<ul>
<li>
Every individual in our team is celebrated for their identity, uniqueness, and experiences.
</li>
<li>
We are invested in each one’s bespoke personal development.
</li>
<li>
Nurturing individuality will supercharge our collective purpose and spirit.
</li>
</ul>
</li>
<li>
Patient impact at scale
<ul>
<li>
We have a steadfast commitment to improve the health and well-being of patients globally.
</li>
<li>
Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.
</li>
</ul>
</li>
</ul>
Who You Are
You want to redefine what’s possible at the frontier of AI and biology. You’re intellectually curious, ambitious, and passionate about applying AI to biology. You thrive in interdisciplinary teams, possess an entrepreneurial spirit, and embrace the uncertainty and excitement of pioneering research.&nbsp;
Ideal experience&nbsp;
<ul>
<li>
4+ years of experience building data infrastructure or data platforms with demonstrated ability to solve complex distributed systems problems independently
</li>
<li>
Experience building infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, Apache Beam, and with proprietary solutions like Nebius
</li>
<li>
Experience designing and implementing large-scale data storage systems (feature stores, timeseries DBs) for ML use cases, with strong familiarity with relational databases, data warehouses, object storage, and expertise in DB schema design
</li>
<li>
Experience with ML infrastructure and have worked at companies that use ML for core business functions
</li>
<li>
Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct, having dealt with challenges like data versioning, point-in-time correctness, and evolving schemas
</li>
<li>
Strong distributed systems and infrastructure skills - comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal
</li>
<li>
Experience with cloud platforms (AWS, GCP, Azure) and container technologies
</li>
<li>
Strong software engineering skills with ability to write easy-to-extend and well-tested code
</li>
<li>
Excellent communication skills and experience collaborating within multidisciplinary teams
</li>
<li>
Comfortable with ambiguity and a fast-moving environment, with a bias for action
</li>
<li>
Learn and pick up new skills quickly
</li>
<li>
Familiarity with bioinformatics or biological data handling (this will be supported by our in-house bioinformatics team)
</li>
<li>
Knowledge of data governance, compliance, and security standards relevant to healthcare or biotech
</li>
</ul>
Interview Process&nbsp;
Our interview process is hard from the beginning, so please do come prepared to show us your strongest self. Marie is based in SF and Hannah in London - we are both available to support this process.
We promise to communicate clearly about our process, look for your strengths, be transparent in our feedback and listen to your feedback - we are always learning. 
The interview steps are listed below. 1-3 are done remotely over video call. Our preference for 4-7 is in person, but remote is possible too. At stage 4 more information will be shared about the following steps. 
<ol>
<li>
Screen with Marie or Hannah 
</li>
<li>
Meet Ravi
</li>
<li>
CV Deep Dive 
</li>
<li>
Analysis Challenge with Ravi
</li>
<li>
Systems Design &amp; Live Coding 
</li>
<li>
Presentation of your work to the wider team 
 
</li>
</ol>

Senior Data Engineer

<h3>Job Description</h3>
Job Description
About Etched
Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep chain-of-thought reasoning.
RTL Design Engineer
As an RTL Engineer at Etched, you will be critical in ensuring that our AI chips operate correctly and efficiently. You will develop and implement design verification strategies for both our existing and upcoming ASIC designs.
In this role, you will work closely with state-of-the-art architectures for machine learning. You do not need to have experience working with these yet, but you will be willing and able to learn quickly. You will work in a fast-paced environment with a high degree of autonomy, and be responsible for a key part of Etched’s success.
Representative projects:
<ul>
<li>
Implement a block to efficiently compute floating point math operators
</li>
<li>
Provide feedback to the uArch team to make sure blocks meet timing and area constraints
</li>
</ul>
You may be a good fit if you:
<ul>
<li>
At least 5 years of work experience in RTL development.
</li>
<li>
Experience with high-speed digital logic.
</li>
<li>
Proficiency in standard RTL design and synthesis tools
</li>
<li>
Familiarity with verification work and writing test benches
</li>
<li>
Are able to learn quickly about transformers and other aspects of modern artificial intelligence
</li>
<li>
Willing to start quickly
</li>
</ul>
Strong candidates may also have experience with:
<ul>
<li>
Experience with PCIe, Ethernet, or HBM technologies
</li>
<li>
Familiarity with transformer models and machine learning.
</li>
<li>
Familiarity with numerical representations and functions
</li>
<li>
​Ability to program with Python or another scripting language
</li>
</ul>
We encourage you to apply even if you do not believe you meet every single qualification.
How we’re different:
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
Benefits:
<ul>
<li>
Full medical, dental, and vision packages, with generous premium coverage
</li>
<li>
Housing subsidy of $2,000/month for those living within walking distance of the office
</li>
<li>
Daily lunch and dinner in our office
</li>
<li>
Relocation support for those moving to West San Jose
</li>
</ul>
Compensation Range
<ul>
<li>
$150,000 - $275,000&nbsp;
</li>
</ul>
Compensation Range: $150K - $275K

RTL Design Engineer

<h3>Job Description</h3>
Job Description
At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers &amp; administrators to focus on what matters most: providing care.
Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years.
Backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more, Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare.
About the Role
We're a small, fast-moving team with ambitious growth goals. Our engineers ship products quickly, and we're looking for creative Full Stack Engineers who can help us rapidly bring these solutions to market. This team is laser-focused on growing our user base. It's a unique opportunity to make a direct impact and help shape our growth story. 
This full time position requires working 5 days a week in our Mountain View, CA office.
What You’ll Do
<ul>
<li>
Build end-to-end products to revolutionize Ambient AI for providers and administrators
</li>
<li>
Be a part of a tremendously fast-paced team that celebrates fast execution and decisions
</li>
<li>
Work across the entire software stack
</li>
<li>
Work with a stack that includes Python, Javascript, React, Typescript, Flask, and other frameworks
</li>
<li>
Work directly with customers to solve their issues daily
</li>
</ul>
What You Have
<ul>
<li>
[Required] Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience
</li>
<li>
4+ years of professional software development industry experience
</li>
<li>
Strong Full-Stack programming skills (Must be comfortable with Python)
</li>
<li>
General Understanding of Containers and Cloud (Docker, Kubernetes)
</li>
<li>
Strong experience with Frontend technologies (React, Typescript, etc.)
</li>
<li>
Experience in environments where you have to ship quickly. We move fast.
</li>
<li>
Experience building production environments
<ul>
<li>
Alerting and reporting
</li>
<li>
Metrics tracking
</li>
<li>
Software reliability engineering
</li>
<li>
Great product sense
</li>
</ul>
</li>
<li>
Familiarity with LLMs, speech-to-text models, or healthcare/EHR integrations is a strong plus.
</li>
</ul>
Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. 
Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com.Any emails from other domains are not affiliated with our organization.
 Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Senior Software Engineer, AIR AI

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Lead, you'll shape market positioning for Retail &amp; Commerce AI, including GPU clusters, NVIDIA-powered infrastructure, and cloud platforms. This is a unique opportunity to define AI solutions for retail, e-commerce, and consumer commerce industries.
What You'll Do
<ul>
<li>
Lead GTM strategy for Retail AI vertical with cloud infrastructure and AI computing solutions
</li>
<li>
Define high-impact use cases across e-commerce, QSR, grocery, and omnichannel retail segments
</li>
<li>
Build distribution strategies with product, engineering, and industry experts
</li>
<li>
Drive early-stage sales from prospecting through deal structuring and onboarding
</li>
<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
</li>
<li>
Collaborate with partners (VCs, SI, NVIDIA Riva, NeMo, Metropolis, Omniverse)
</li>
<li>
Represent the company at industry events and thought leadership forums
</li>
</ul>
What You Bring
<ul>
<li>
Track record in GTM roles across AI, cloud, retail tech, or e-commerce enablement
</li>
<li>
Deep familiarity with AI use cases in commerce: LLMs, recommender systems, visual AI, agentic tools
</li>
<li>
Experience launching new markets, products, or verticals from 0 to 1
</li>
<li>
Strong sales skills and ability to engage C-level stakeholders
</li>
<li>
Experience building strategic partnerships with ecosystem leaders like NVIDIA
</li>
<li>
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
</li>
<li>
Bonus: Startup founder experience, GPU platform familiarity, industry network
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
</li>
<li>
Intellectual curiosity about AI use cases in commerce
</li>
<li>
Comfort in dynamic, high-growth environments
</li>
<li>
Innovation-focused with cross-functional collaboration skills
</li>
<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
</li>
<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Hiring Manager interview (General fit)
</li>
<li>
Level 2: Interview with Head of Product (In-depth)
</li>
<li>
Level 3: Interview with Head of Sales (In-depth)
</li>
<li>
Level 4: Case Study
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

GTM Lead, Retail & Commerce AI (AI Infra)

<h3>Job Description</h3>
Job DescriptionZyphra is an artificial intelligence company based in Palo Alto, California.The Role:
As a Lead Frontend Engineer - Agentic Interfaces, you’ll lead the design and development of the user-facing side of our agentic system, shaping how users interact with AI across their desktop, browser, and filesystem. You’ll work across interface design, component libraries, and frontend infrastructure to craft seamless, accessible, and intuitive user experiences. You’ll work closely with engineers, ML researchers, and backend teams to bring intelligent agents to life in a way that’s beautifully simple and deeply useful.
You’ll work across:
<ul>
<li>
Design and development of browser-based and desktop interfaces
</li>
<li>
Building and maintaining component libraries and styling systems
</li>
<li>
Researching and refining user flows based on real-world usage and feedback
</li>
<li>
Prototyping and implementing UI features in collaboration with ML, backend, and systems teams
</li>
<li>
Making a complex AI product feel simple, accessible, and empowering for a wide range of users
</li>
</ul>
Requirements: 
<ul>
<li>
Strong frontend engineering skills with fluency in HTML, CSS, and JavaScript/TypeScript
</li>
<li>
Experience with modern frontend frameworks such as React
</li>
<li>
Demonstrated attention to UI detail and usability, with a user-first mindset
</li>
<li>
Ability to prototype and iterate quickly, both in code and with design tools like Figma
</li>
<li>
Experience designing and developing responsive, accessible, and high-performance interfaces
</li>
<li>
Strong intuition for HCI principles, accessibility, and visual clarity
</li>
<li>
Excellent collaboration and communication skills—especially with engineers, designers, and ML researchers
</li>
</ul>
Bonus Skill Set:
<ul>
<li>
Experience designing or building browser extensions or desktop applications (e.g., Electron, Tauri)
</li>
<li>
Experience with mobile platforms and responsive design (not required but helpful)
</li>
<li>
Prior work on products involving complex workflows, automation, or agentic behavior
</li>
<li>
Interest or experience in backend development, APIs, or AI systems to better interface with the full stack
</li>
<li>
Familiarity with accessibility standards and inclusive design best practices
</li>
<li>
A track record of launching polished and user-loved products
</li>
<li>
Passion for systems-level thinking: building reusable design systems, libraries, and scalable patterns
</li>
<li>
A clear, opinionated eye for elegant design and user delight
</li>
</ul>
Why Work at Zyphra:
<ul>
<li>
Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued
</li>
<li>
We strongly value new and crazy ideas and are very willing to bet big on new ideas
</li>
<li>
We move as quickly as we can; we aim to minimize the bar to impact as low as possible
</li>
<li>
We all enjoy what we do and love discussing AI
</li>
</ul>
Benefits and Perks:
<ul>
<li>
Comprehensive medical, dental, vision, and FSA plans
</li>
<li>
Competitive compensation and 401(k)
</li>
<li>
Relocation and immigration support on a case-by-case basis
</li>
<li>
On-site meals prepared by a dedicated culinary team; Thursday Happy Hours
</li>
<li>
In-person team in Palo Alto, CA, with a collaborative, high-energy environment
</li>
</ul>
We’re building something new, and we want someone excited to invent and refine what the future of agentic interfaces looks like. If that is you, Apply Today!

Lead Frontend Engineer - Agentic Interfaces

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Lead, you'll shape market positioning for Financial Services solutions, including cloud infrastructure, virtualization, and NVIDIA-powered platforms. This is a unique opportunity to lead GTM efforts across banks, asset managers, insurers, and fintechs within a well-funded, rapidly scaling organization.
What You'll Do
<ul>
<li>
Lead GTM strategy for the Financial Services vertical with enterprise-ready cloud and AI solutions
</li>
<li>
Target customer segments including banking, insurance, asset management, and fintech
</li>
<li>
Build distribution strategies with product, engineering, and industry experts
</li>
<li>
Drive early-stage sales from prospecting through deal structuring and onboarding
</li>
<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
</li>
<li>
Build ecosystem partnerships with NVIDIA, fintechs, consultancies, and VCs
</li>
<li>
Represent the company at financial industry events and thought leadership forums
</li>
<li>
Lead hiring and mentorship for GTM-facing roles as the vertical grows
</li>
</ul>
What You Bring
<ul>
<li>
GTM or product leadership experience in financial services, cloud/AI infrastructure, or fintech
</li>
<li>
Proven success launching new products or verticals from scratch with founder-like ownership
</li>
<li>
Strong sales and stakeholder engagement skills with senior decision-makers
</li>
<li>
Strategic partnership experience (e.g., NVIDIA or similar platforms)
</li>
<li>
Familiarity with AI/ML infrastructure (LLMs, RAG, vector DBs, NLP)
</li>
<li>
Knowledge of enterprise sales cycles and financial services compliance expectations
</li>
<li>
Bonus: experience in trading, fraud, or risk tech; understanding of GLBA, FFIEC, FINRA, MiFID II; deep network in FSI
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
</li>
<li>
Curiosity and insight into enterprise AI infrastructure and financial applications
</li>
<li>
Comfort operating in a high-growth, less-structured environment
</li>
<li>
Cross-functional alignment and innovation mindset
</li>
<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
</li>
<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Hiring Manager interview (General fit)
</li>
<li>
Level 2: Interview with Head of Product (In-depth)
</li>
<li>
Level 3: Interview with Head of Sales (In-depth)
</li>
<li>
Level 4: Case Study
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

GTM Lead, Financial Services (AI Infra)

<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.
About the Role:
We are actively seeking an exceptional Staff Software Engineer for our cloud software team who will contribute to the operations of our cutting-edge infrastructure. Your expertise will be instrumental in designing and scaling our carbon-reducing operating model, as well as managing critical hardware, software, and network components.
In this role, you will be involved in writing and reviewing code, contributing to proposals and architecture documents. You will evaluate tools and frameworks, carefully considering their impact on reliability, scalability, operational costs, and ease of adoption. Your expertise in orchestration and optimization will be instrumental in advancing our managed Kubernetes and AI training clusters, ensuring they lead the industry in reliability and performance.
A Day In The Life:
<ul>
<li>
Contribute to the development of scalable and robust software solutions, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap
</li>
<li>
Work collaboratively with tech leads and engineers to create a dynamic environment where creativity and technical excellence are encouraged, leading to the development of cutting-edge cloud solutions
</li>
<li>
Continuously stay abreast of the latest trends and techniques in cloud software, incorporating these insights to keep Crusoe’s offerings innovative
</li>
<li>
While you won’t have formal management responsibilities, you will support the development of your peers by sharing knowledge and providing guidance in technical discussions
</li>
</ul>
You Will Thrive In This Role If:
<ul>
<li>
You have 8+ years of experience working in software engineering, with strong experience in Systems Engineering
</li>
<li>
You possess 2+ years of programming experience in GoLang
</li>
<li>
You have experience with Kubernetes and Linux Engineering and debugging
</li>
<li>
You are skilled in infrastructure as code and familiar with systems-level challenges
</li>
<li>
You have experience with Terraform and GCP (preferred)
</li>
<li>
You understand Argo, CI/CD, and Automated Testing pipelines
</li>
<li>
You can build and manage Kubernetes operators and controllers, developing and maintaining essential components that ensure the reliability and efficiency of the Kubernetes environment
</li>
<li>
You can develop scalable systems to compete with leading services like Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS)
</li>
<li>
You can oversee critical projects with broad impact, leading initiatives focused on networking, quality control, and automation to ensure optimal performance and reliability
</li>
<li>
You can design system architecture, taking ownership of system architecture, including CI/CD pipelines, while ensuring adherence to security standards
</li>
<li>
You have excellent communication skills, both verbal and written
</li>
</ul>
Benefits:
<ul>
<li>
Hybrid work schedule
</li>
<li>
Industry competitive pay
</li>
<li>
Restricted Stock Units in a fast growing, well-funded technology company
</li>
<li>
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
</li>
<li>
Employer contributions to HSA accounts&nbsp;
</li>
<li>
Paid Parental Leave&nbsp;
</li>
<li>
Paid life insurance, short-term and long-term disability&nbsp;
</li>
<li>
Teladoc&nbsp;
</li>
<li>
401(k) with a 100% match up to 4% of salary
</li>
<li>
Generous paid time off and holiday schedule
</li>
<li>
Cell phone reimbursement
</li>
<li>
Tuition reimbursement
</li>
<li>
Subscription to the Calm app
</li>
<li>
MetLife Legal
</li>
<li>
Company paid commuter benefit; $200 per pay period
</li>
</ul>
Compensation Range:
Compensation will be paid in the range of $220,000 - $250,000. 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 (Managed Kubernetes)

<h3>Job Description</h3>
Job DescriptionGeneralist Software Engineer About Us
Here at&nbsp;Spellbrush, we're passionate about making a good anime game.
We also happen to be the world's leading generative AI studio — we're the team behind&nbsp;niji・journey.
We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames.
Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts.
If you love turn-based tactics games, please consider applying! 
About The Role
As Spellbrush continues to grow rapidly, we're seeking talented generalist engineers to join our team and help us build advanced data pipelines, foundational datasets, as well as the tools and infrastructure that support them. If the thought of running a batch job across ten-thousand GPUs to ingest petabytes worth of anime image and videos excites you, this is the job for you! 
What You'll Achieve
You'll define the processes and infrastructure to transform and make data readily available across the company, whether it be embeddings, video, bounding boxes, or more.
You'll partner with our world class AI researchers to understand their needs, and then design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size. 
Skills You'll Need To Bring
You are a self-starter and can work directly with the research team to gather and synthesize high-impact needs from teammates, designing and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs.
You've spent 3+ years as software engineer, with a wide generalist skillset.
You’ve worked with distributed systems, and previously administered a big data toolset (Ray, Spark, Airflow, etc.).
You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure, etc.), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, etc.).
You’re comfortable pulling data from whatever source it may be in, whether that involves writing a complex SQL query to pull a billion rows out of a Bigquery Database, or coordinating the transfer of 10+ PB of data across two S3 regions.
You are highly comfortable with scripting, whether in Typescript, Python, or even Bash when the need arises.
Most importantly, you know when to pull in the complex overengineered tools, and when to instead rely on duct tape. 
You may be a good fit if: You have hands-on experience in designing and building highly scalable and reliable data pipelines
Building data pipelines for AI presents itself with unique challenges. If you’ve previously built large scale big data pipelines, you’d be a good fit.
You’re interested in learning and interfacing with AI researchers
You’ll interface with some of the best AI researchers in the world, meaning that you’ll get to learn from the best. Your code will frequently need to ingest values and embeddings from our state-of-the-art models, and we’ll help you get up to speed here.
You love anime and the anime aesthetic
As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre.
You're comfortable working on small, fast-paced teams
Our engineering team is small but mighty. You'll be working directly with some of the best AI researchers and engineers in the world to integrate their state-of-the-art models into your beautiful interfaces.
We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.

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