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<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 Senior 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 5-7 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 $180,000 - $210,000. 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.

Senior Software Engineer, Managed Orchestration (Managed Kubernetes)

<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 This Role:
Crusoe Energy Systems is seeking a highly skilled and motivated Senior Staff Software Engineer - Software Defined Networking to lead the development and execution of our innovative Software Defined Networking strategy. In this critical role, you will drive the adoption of cutting-edge technologies like XDP/EBPF, DPDK, SmartNICs, and DPUs/IPUs within the Linux Kernel to significantly enhance network performance and efficiency.
What You’ll Be Working On:
<ul>
<li>
Define and Execute SDN Strategy: Develop and execute the roadmap for Crusoe Energy Cloud's Software Defined Networking strategy, aligning with overall business objectives.
</li>
<li>
Technical Leadership &amp; Execution:
<ul>
<li>
Provide technical leadership and guidance to the engineering team.
</li>
<li>
Drive architectural decisions, design processes, design reviews, code reviews, and implementation tasks.
</li>
<li>
Collaborate closely with the network infrastructure organization to develop and deploy industry-leading networking infrastructure.
</li>
</ul>
</li>
<li>
Linux Kernel &amp; Driver Development: Lead the development and maintenance of Linux Kernel modules and drivers, leveraging technologies like XDP/EBPF, DPDK, and network accelerators.
</li>
<li>
System Architecture Design: Design and implement high-performance, scalable, and reliable network architectures.
</li>
<li>
Production Support: Provide ongoing support for production systems, including troubleshooting, performance tuning, and incident response.
</li>
<li>
Cross-functional Collaboration: Foster strong collaboration with other engineering teams (e.g., Software Infrastructure, Product) and cross-functional departments.
</li>
</ul>
What You’ll Bring to the Team:
<ul>
<li>
Extensive System Programming Experience: 8+ years of proven experience in system programming with C, C++, and/or Rust.
</li>
<li>
Deep Linux Systems Expertise: Extensive knowledge of Linux Systems Internals, including kernel internals, memory management, and I/O subsystems.
</li>
<li>
Network Programming Mastery: Expertise in Network Programming and Packet Processing pipelines (TCP/IP, UDP, etc.).
</li>
<li>
Kernel Bypass Technologies: Hands-on experience with kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK.
</li>
<li>
Network Accelerator Expertise: In-depth understanding of network accelerators like Mellanox/Nvidia SmartNIC (ConnectX6/7), DPU Bluefield3, and Intel IPU.
</li>
<li>
Virtualization &amp; Networking Technologies: Familiarity with SR-IOV, vDPA, scalable functions, Open vSwitch, Openflow, and Open Virtual Networking.
</li>
<li>
Strong Engineering Practices: Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. &nbsp;
</li>
<li>
Open Source Contributions: Demonstrated track record of contributions to the open source community (e.g., Open vSwitch/OVS, Open Virtual Networking/OVN, Multus, Cilium).
</li>
</ul>
Bonus Points:
<ul>
<li>
Advanced degree in Computer Science, Engineering, or a related field.
</li>
<li>
Proven leadership experience in a technical role.
</li>
<li>
Experience with cloud networking platforms (AWS, Azure, GCP) and virtualization technologies (VMware, KVM).
</li>
</ul>
Benefits:
<ul>
<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
</li>
<li>
Paid Parental Leave
</li>
<li>
Paid life insurance, short-term and long-term disability
</li>
<li>
Teladoc
</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 FSA benefit of $200 per month
</li>
</ul>
Compensation:
Compensation will be paid in the range of $214,000 - $259,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant's 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.

Senior Staff Software Engineer, SDN Networking

<h3>Job Description</h3>
Job DescriptionJoin us at Cleric
We’re building a future where engineers are focused on designing and building products, freeing them from operational toil. We’re starting with an AI-powered SRE agent that remediates issues in production environments autonomously. It uses an LLM-based reasoning engine to react to, interpret, and implement solutions to production issues, even those it's encountering for the first time.
Now is a divine time to join. We're a small group of veterans in AI, software, and infrastructure, backed by a leading AI venture capital firm and Silicon Valley angels. Our product is in production at high-scale technology companies in fintech, ride-hailing, and autonomous vehicles.
About the role
We’re hiring a Staff Software Engineer, AI. You will drive the development of our agent. You will be working on the reasoning, learning, and integrations of our SRE agent, and also the underlying runtime and technical architecture of the complete product. You'll help keep engineering standards high, define the experience for our customers, and push the agent to solve increasingly more complex SRE challenges.
What you'll do:
<ul>
<li>
Build autonomous agents capable of executing complex, multi-step tasks
</li>
<li>
Design and implement agent evaluation frameworks to measure performance and reliability
</li>
<li>
Develop self-improving systems that can adapt based on feedback and results
</li>
<li>
Expand agent observability to resolve day-to-day issues with tool-calling and agent orchestration
</li>
</ul>
You have:
<ul>
<li>
6+ years of production software engineering experience with exposure to ML/data science
</li>
<li>
You love building tools for fellow engineers. You consider it a craft.
</li>
<li>
You have strong software engineering fundamentals and have opinions on how to build robust, scalable, and secure software.
</li>
<li>
You’ve operated high-scale distributed infrastructure. You’ve seen it done right, and you’ve seen it gone wrong. Kubernetes, Kafka, Spark, microservices, and all the usual suspects.
</li>
<li>
You've built complex systems at scale. We use Python, but value experience with systems languages (Rust, C++, Go) or JVM languages (Kotlin, Scala).
</li>
<li>
You are obsessed with generative AI and have a background in building ML/AI systems.
</li>
<li>
You are a methodical thinker and try to understand the big picture
</li>
<li>
You challenge assumptions and propose pragmatic solutions
</li>
</ul>
Nice to have:
<ul>
<li>
Prior experience building autonomous agents
</li>
<li>
Familiarity with LLM tool-calling, function-calling, and agentic frameworks
</li>
<li>
Previous startup experience
</li>
</ul>
 How we work
<ul>
<li>
Small teams, big impact: We believe that small teams can deliver great products.
</li>
<li>
Culture matters: We value radical candor in a positive and inclusive work environment.
</li>
<li>
In-person collaboration: We believe in working closely to deliver the best results.
</li>
<li>
AI-first approach: We don't simply build AI products; we augment ourselves with it.
</li>
</ul>
 Interview process (you'll meet most of the team via the process)
<ol>
<li>
Intro Call
<ul>
<li>
Discuss your experience, the company, product, and the role
</li>
<li>
Lightning tech screen (10 mins) to swap ideas on engineering practices.
</li>
</ul>
</li>
<li>
Software Engineering Session (1 hour)
<ul>
<li>
Collaboratively build an application
</li>
<li>
Focus on practical software engineering, not algorithm challenges
</li>
</ul>
</li>
<li>
System Design Session (90 mins)
<ul>
<li>
Work through a system design problem relevant to your daily work
</li>
</ul>
</li>
<li>
Bar Raiser (60 mins)
<ul>
<li>
Product thinking
</li>
<li>
Engineering practices
</li>
</ul>
</li>
</ol>

Staff Software Engineer, AI

<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.
Role focus - Foundation Models for Biology
You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology.
<ul>
<li>
Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability.
</li>
<li>
Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes
</li>
<li>
Refactor and scale prototype research code into clean, maintainable, and performant repositories suitable for production-grade deployments.
</li>
<li>
Create high-speed data processing workflows capable of efficiently handling large-scale datasets to accelerate experimentation and model development.
</li>
<li>
Experimental design, prioritising high impact experiments with the highest signal:noise ratio.
</li>
</ul>
Expected Growth&nbsp;
<ul>
<li>
In 1 month you will be responsible for running initial experiments with state-of-the-art machine learning models, reviewing and implementing cutting-edge research papers, and optimizing existing code for efficiency and accuracy.
</li>
<li>
In 3 months you will directly own and have created a prototype model architecture, demonstrated significant algorithmic improvements, and contributed to scaling methods for large-scale data ingestion and training.
</li>
<li>
In 6 months, you’ll have developed a high-performance version of a foundation model, implemented key algorithmic optimizations that boost scalability and throughput, and published internal benchmarks demonstrating significant research impact.
</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
<ul>
<li>
Ambitious and Impact-Driven: You're inspired by working at the forefront of AI and biology, motivated by challenges that can significantly advance human health.
</li>
<li>
Technical Excellence: You thrive in highly technical, complex environments and have a track record of turning cutting-edge research into robust production systems.
</li>
<li>
Collaborative &amp; Communicative: You excel at collaborating across disciplines, clearly articulating complex ideas, and driving alignment among research and engineering teams.
</li>
</ul>
Necessary experience&nbsp;
<ul>
<li>
Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions.
</li>
<li>
Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency.
</li>
<li>
Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization.
</li>
<li>
Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing.
</li>
<li>
Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow), and familiarity with state-of-the-art training and inference workflows.
</li>
<li>
Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful critical analyses.
</li>
<li>
Experience of building highly collaborative research teams.&nbsp;
</li>
<li>
Track record of working on hard problems for long periods of time.&nbsp;
</li>
<li>
High agency with the ability to jump on any task as needed.&nbsp;
</li>
<li>
Demonstrated experience training, optimizing, and deploying large-scale models (7B+ parameters).
</li>
<li>
Low level algorithm optimisation
<ul>
<li>
Quantization (8bit or lower)
</li>
<li>
JIT compilation
</li>
<li>
XLA/Mosaic/Triton/CUDA
</li>
</ul>
</li>
<li>
Hardware optimisation (GPU/TPU/HPU)
</li>
<li>
Finetuning Optimization (QLora, QDora)&nbsp;
</li>
<li>
Large scale data above 2T tokens
</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>
Take Home Technical Challenge &amp; Discussion 
</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>

Machine Learning Research Engineer

<h3>Job Description</h3>
Job DescriptionGTM Engineer (Full-Stack) | naptha.aiAbout this role
Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers.
Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment.
<ul>
<li>
Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages
</li>
<li>
Work directly with the founders on small bet initiatives from idea to shipped product
</li>
<li>
Integrate our AI technology into real-world use cases and showcase its value to developers
</li>
<li>
Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels
</li>
<li>
Implement lightweight analytics to measure outcomes and iterate quickly
</li>
<li>
Collaborate with backend engineers and product to ensure velocity and alignment
</li>
<li>
Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks 
</li>
</ul>
Why Join Us
<ul>
<li>
Shape how our product gets into the hands of developers and how it evolves with them
</li>
<li>
Work directly with the founding team in a no-red-tape environment
</li>
<li>
Own projects end-to-end, from idea to implementation to impact
</li>
<li>
Be one of the first hires in a company built on technical excellence and fast iteration
</li>
</ul>
In this role, you’re a good fit if you have:
<ul>
<li>
3–6 years of experience as a full-stack engineer, ideally in early-stage startups
</li>
<li>
Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.)
</li>
<li>
Experience working with APIs, SDKs, or developer tooling is a big plus
</li>
<li>
Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code
</li>
<li>
Comfort jumping on calls with users, writing docs, or implementing quick fixes in production
</li>
<li>
Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools
</li>
<li>
Bonus: Experience in growth engineering, developer advocacy, or building for developers
</li>
<li>
Bonus: Experience working in an environment driven by experimentation and iteration
</li>
</ul>
About the hiring process
<ul>
<li>
Video interview with hiring manager
</li>
<li>
Take-home project
</li>
<li>
Presentation of take-home project to panel
</li>
<li>
Interview with co-founders
</li>
</ul>
Compensation &amp; Benefits
<ul>
<li>
Highly competitive salary and significant equity stake
</li>
<li>
Role and compensation scaled to your experience
</li>
<li>
Remote-first work environment
</li>
<li>
Full medical, dental, and vision coverage
</li>
<li>
Flexible PTO policy
</li>
<li>
Learning and conference budget
</li>
</ul>
We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you.
Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

GTM Engineer (Full-Stack)

<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.
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the Manager, Energy &amp; Infrastructure Development, you will play a pivotal role in this mission by originating and developing GW-scale energy and infrastructure projects to support next generation compute campuses, driving the execution of all aspects of those projects and developing strategic plans for project growth on our Energy &amp; Infrastructure Development team. In other words, you’ll be a key player in siting and scaling infrastructure to support high-performance computing and AI workloads, helping Crusoe pioneer reliable, energy-first compute at scale.
You will work on projects across North America, focusing on delivering industry leading time-to-market and scale and creative energy solutions. While delivering robust power systems, you will focus on leveraging the industry’s energy demand to catalyze low-carbon baseload power. Including, but not limited to, solar, energy storage, hydro, nuclear, geothermal, and gas + CCS. This position directly impacts Crusoe's mission by delivering opportunities to execute on global-scale climate aligned data center infrastructure. You will collaborate with cross-functional teams, manage client relationships, negotiate contracts, lead early stage development and oversee regulatory compliance.
What You’ll Be Working On:
<ul>
<li>
AI Infrastructure Enablement: Work directly with internal technical teams and external partners to site, design, and deliver power and land to energy-intensive AI compute deployments, including high-density GPU data centers.
</li>
<li>
Strategic Project Development: Define and deploy strategic frameworks for new project development, primarily within the US.
</li>
<li>
Deal Execution &amp; Leadership: Develop and execute fast-paced, extremely complex energy + real estate deals from start to finish. Act as the central point ("quarterback") to drive these complex deals to completion.
</li>
<li>
Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure alignment with company goals and market needs.
</li>
<li>
Market &amp; Regulatory Analysis: Analyze regulatory and policy developments impacting both the energy and AI industry. Recommend proactive adjustments to business strategies based on market analysis.
</li>
<li>
Power Sourcing &amp; Market Research: Develop and implement comprehensive power sourcing strategies to reduce overall LCOE (Levelized Cost of Energy). Conduct market research to identify and capitalize on market opportunities.
</li>
<li>
Relationship Management: Build and maintain strong relationships with potential and existing clients, including renewable developers, brokers, Independent Power Producers (IPPs), and AI workload end users
</li>
<li>
Contract Negotiation &amp; Structuring: Lead the negotiation and structuring of power purchase agreements and real estate agreements needed to build co-located HPC data centers.
</li>
<li>
Interconnection &amp; Tax Abatement: Lead interconnection submittal and approval for data center load. Lead property tax abatement negotiations.
</li>
<li>
Compliance &amp; Financial Alignment: Work closely with legal and financial teams to ensure compliance with regulatory requirements and financial objectives.
</li>
</ul>
What You’ll Bring to the Team:
<ul>
<li>
Energy Industry Experience: A minimum of 8 years of progressive experience in the energy sector, specifically within the project development of large-scale infrastructure. We require hands-on experience at a hyperscaler level, with a specialization in gas development.
</li>
<li>
Power Marketing &amp; PPA Origination: Proven experience in power marketing and PPA origination in the energy sector.
</li>
<li>
AI Compute or Data Center Experience: Deep interest in AI workloads and experience working with AI infrastructure providers, hyperscalers, or compute developers.
</li>
<li>
Market &amp; Regulatory Understanding: Strong understanding of the U.S. energy &amp; natural gas market, supply and permitting.
</li>
<li>
Key Skills: Excellent negotiation, strategic thinking, and leadership skills.
</li>
<li>
Team Collaboration: Ability to work collaboratively in a team environment.
</li>
<li>
Education: Relevant degree in Business, Economics, Engineering, or a related field
</li>
<li>
Location &amp; Work Model: Fully onsite in either Denver or San Francisco
</li>
</ul>
Bonus Points:
<ul>
<li>
Growth Mindset: Curious, eager, tenacious, and a quick learner.
</li>
<li>
Adaptability: Willing to work hard at a fast-paced, dynamic startup where the industry changes quickly and goals evolve in real-time.
</li>
<li>
Project Leadership: Strong interpersonal skills, project management skills, and highly organized to drive complex deals to completion.
</li>
</ul>
Benefits:
<ul>
<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
</li>
<li>
Paid Parental Leave
</li>
<li>
Paid life insurance, short-term and long-term disability
</li>
<li>
Teladoc
</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 month
</li>
</ul>
Compensation: Compensation will be paid in the range of $160,000-$250,000 (location &amp; level based). Restricted Stock Units and an annual targeted bonus are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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.

Manager, Energy & Infrastructure Development

<h3>Job Description</h3>
Job Description
At Pylon, we’re a small team building a very ambitious product in the mortgage space. At this early stage, we’re looking for engineers who can see the opportunity of what we’re building towards and want to shape the user experience of a deeply technical product. We're in search of full stack engineers who love turning complexity into clarity and who sweat the details in service of usability, performance, and craft. If you thrive on building fast, expressive interfaces and care deeply about the experience behind every click, Pylon could be a great place for you.
About you
You:
<ul>
<li>
Care about the full stack, but specialize in the last mile. You know CSS like the back of your hand —but you can reason across the stack and know how to integrate cleanly with backend systems.
</li>
<li>
Have strong product instincts. You think in flows, not just components. You’re motivated by how users feel, how quickly they understand something, and whether they trust what they see.
</li>
<li>
Embrace constraints. Designing great UX in a highly regulated, high-stakes domain is a hard problem. You’re energized by solving for clarity in a complex space.
</li>
<li>
Know your tools and push them hard. Whether it’s squeezing performance out of a rendering path or designing a type-safe form builder, you love building polished, maintainable UI code that scales.
</li>
<li>
Work autonomously and with impact. You don’t wait around for perfect specs or throw pixels over the wall. You collaborate tightly with engineers, designers, and PMs to build and iterate quickly.
</li>
<li>
Love strong typing. We use TypeScript across the stack and care a lot about types as a tool for correctness, clarity, and iteration speed. You probably do too.
</li>
</ul>
About the Team
What we’re not:
Building a CRUD app: We’re building a platform that’s only possible due to deep technology investments and thinking hard from first principles. Cargo-culting what’s come before won’t be sufficient. If you’re looking to do mostly plumbing / lego piece assembling, Pylon may be very frustrating for you
An LLM wrapper: Mortgage is a sprawling mess of problems, and there isn't one tool that solves every one of them. We use LLMs, but we've reached for tools in multiple disciplines like mixed-integer linear optimization and programming language research.
An easy job: We’re building a lot of things from the ground up for the first time. Working at Pylon is like a research project where you have to ship to intelligent, opinionated customers regularly. It’s basically guaranteed you’ll be handed a task that is too difficult for you to do. You might fail sometimes. You might have no idea where to start. Our team leans heavily on each other, but there’s no getting around the difficulties.
What we are:
A small team: We don’t have an army of engineers. If you find something is broken, you are probably the best one to fix it. All the code we write has to punch above its weight in maintainability and toil reduction. If you have a good idea, you have much more ability to put it into action than at a large company.
We need generalists: Specialization is for big companies that already have everything figured out. If you’re smart, flexible and like getting into everything, we want you.
Working in a regulated space: Mortgage is regulated both federally and at the state level. We move fast, but breaking things isn’t an option.
About the Job
Basics Job title: Full Stack Engineer Stock options: Own a piece of the company and we all win together Benefits: Health insurance, 401K, dental, etc.
Our technology stack: We don’t require that you’ve worked with any of these technologies before—this is just our stack for your reference:
<ul>
<li>
TypeScript (frontend and backend)
</li>
<li>
Web Components &amp; React
</li>
<li>
GraphQL
</li>
<li>
Nx build system
</li>
<li>
PostgreSQL
</li>
<li>
Sagittarius
</li>
<li>
AWS stack using CDK for declarative infrastructure
</li>
<li>
NestJS on the backend
</li>
</ul>
In this role, you’ll:
<ul>
<li>
Build and own core workflows that define how users interact with Pylon
</li>
<li>
Collaborate closely with design and backend to ship high-impact features
</li>
<li>
Bring structure, clarity, and polish to complex forms and workflows
</li>
<li>
Write clean, well-typed code that balances speed and maintainability
</li>
<li>
Help evolve our frontend architecture as the product grows
</li>
<li>
Push for consistency and usability across the interface
</li>
<li>
Work to evolve our mortgage GraphQL API
</li>
</ul>
About Pylon
The $13 trillion mortgage industry at the core of the American economy runs on broken assembly lines with human-powered workflows, stitched-together software, and a series of capital markets intermediates. The costs to originate are at an all time high despite foundational shifts in technology.
Pylon is rewiring mortgages from the ground up. We are building the only API-first, programmatic infrastructure that fully automates credit, compliance, capital, and operations. For the first time, originators can build and scale mortgage businesses entirely through software, not people. Our team comes from Stripe, Better, and Affirm, and we are backed by Conversion Capital, QED, Citi, Fifth Wall, Peter Thiel, and the founders of Ramp, Mercury, Blend, and others.

Full Stack Engineer(s)

<h3>Job Description</h3>
Job DescriptionFounding Engineer (Full Stack)
 Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity (founding tier)
Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.
About the Role
We’re hiring a founding full stack engineer to help architect and build the platform from day one. This is a unique opportunity to a significant portion of the tech stack and grow into a leadership role with considerable upside in equity.
You’ll be working on infrastructure that combines large-scale data systems with AI-native agents. This is a highly autonomous, high-leverage role with ownership over core architecture and early team culture.
You’ll be writing production code across backend and frontend, defining interfaces between components, shaping devops and data infrastructure, and helping translate abstract concepts into working systems. If you’re someone who prefers fast feedback, direct impact, and long-term upside — this is for you.
Responsibilities
<ul>
<li>
Architect and build scalable APIs, backend services, and web application components 
</li>
<li>
Contribute across the stack: data pipelines, agents, web UIs, deployment systems 
</li>
<li>
Design and implement internal tooling, testing frameworks, and CI/CD pipelines 
</li>
<li>
Collaborate closely with product and design to prototype and ship features quickly 
</li>
<li>
Help define engineering processes, contribute to documentation, and grow the early team 
</li>
</ul>
Our Stack
An ability to learn and grasp new technologies quickly trumps knowing the entire tech stack — you should be comfortable learning and adapting in a fast-moving environment. The following represents the types of technologies you will be working with:
 Languages: TypeScript (Node.js), Python (FastAPI) Frontend: React, Next.js, Tailwind, shadcn/ui Backend: Postgres, DuckDB, GraphQL (Hasura), Kafka, REST Cloud/Infra: AWS, Docker, GitHub Actions, ArgoCD, Kubernetes (basic) AI/Agents: LangChain, LangGraph, OpenAI, Anthropic, LLaMA, Pinecone, Qdrant Governance: Keycloak, Open Policy Agent (OPA), OpenTelemetry, Slack integrations Visualization: Vega, Flourish, React ReChart Connectors: ERP, PLM, Excel, Email, Web APIs
What We’re Looking For
Experience:
<ul>
<li>
5+ years as a full stack or backend engineer 
</li>
<li>
Experience owning and delivering production systems end-to-end 
</li>
<li>
Prior experience with modern frontend frameworks (React, Next.js) 
</li>
<li>
Familiarity with building APIs, databases, cloud infrastructure, or deployment workflows at scale 
</li>
<li>
Comfortable working in early-stage startups or autonomous roles, prior experience as a founder, founding engineer, or a 0-1 pre-seed startup is a big plus 
</li>
</ul>
Mindset:
<ul>
<li>
Comfortable with ambiguity, eager to prototype and iterate quickly 
</li>
<li>
Strong sense of ownership — prefers to build systems rather than wait for tickets 
</li>
<li>
Enjoys thinking about architecture, performance, and tradeoffs at every level 
</li>
<li>
Clear communicator and pragmatic team player 
</li>
<li>
Values equity and impact over prestige or hierarchy
</li>
<li>
Prior startup or founding team experience 
</li>
</ul>
Bonus: 
<ul>
<li>
Contributions to open-source or internal tools with impact 
</li>
<li>
Interest in data systems, agent workflows, or LLM orchestration 
</li>
</ul>
Why Join
<ul>
<li>
True ownership — early equity and influence over product and technical direction 
</li>
<li>
Mission-driven team solving complex data and AI problems with real-world impact 
</li>
<li>
Strong engineering culture focused on velocity, clarity, and long-term thinking 
</li>
<li>
Learning curve across AI, data infra, agents, and enterprise-scale platforms 
</li>
<li>
Early access to cutting-edge AI workflows and deployment patterns 
</li>
</ul>
If you want to build systems that learn, act, and evolve — with the autonomy to shape the stack and the team — we’d love to hear from you.

Founding Engineer

<h3>Job Description</h3>
Job Description
Hadrian - Manufacturing the Future
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. 
We recently raised $260 million dollar Series C to accelerate this mission. We are excited to be launching a new Factory in Mesa, Arizona, a 270,000 square foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond!
The Role 
Candidates for this role could end up working with a number of our internal products and teams:
Flow is Hadrian’s FactoryOS, our core platform comprised of a variety of applications that model, manage, and automate an extremely complex network of factories. 
Copilotis our suite of manufacturing automation products which automates or accelerates key processes within the factory including quoting, CAM programming, and CMM programming. 
Factory Automationdevelops robotic cells for use in our factories and the software that controls them.
We have a broad set of applications internally. Candidates interested in redefining manufacturing software will have ample opportunity to do so.
What You’ll Do
<ul>
<li>
Scope, architect, implement, and deploy critical applications across multiple product verticals.
</li>
<li>
Engage in product discovery alongside experts in manufacturing and software- help define what needs to exist and what needs to be better.
</li>
<li>
Build alongside an incredible team of engineers and operators.
</li>
</ul>
What We’re Looking For
<ul>
<li>
Expert in TypeScript and frontend web development, ideally using React and related state management solutions. Deep understanding of the frontend ecosystem.
</li>
<li>
Strong ability and desire to write high quality code and maintain a high quality codebase.
</li>
<li>
API design experience (REST &amp; gRPC).
</li>
<li>
Know how to develop, deploy, and maintain fullstack applications using a modern web stack.
</li>
<li>
Bias towards action and take pride in your work.
</li>
<li>
Excited to work in a fast-paced environment with high-stakes and quick iteration cycles.
</li>
</ul>
What Will Set You Apart
<ul>
<li>
Have great product intuition and user empathy. You enjoy talking to users.
</li>
<li>
Have a strong sense of design and execute at a high level with or without design support.
</li>
<li>
Comfortable jumping into different areas of our stack as needed: Go, Python, C#, C++, etc.
</li>
<li>
Have experience with data visualization, video games, CAD/CAM software, or 3D environments.
</li>
<li>
Have demonstrated success with developing and deploying high performance web applications.
</li>
</ul>
Compensation
For this role, the target salary range is $120,000 - $250,000(actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Benefits
<ul>
<li>
100% coverage of medical, dental, vision, and life insurance plans for employees
</li>
</ul>
<ul>
<li>
401k
</li>
</ul>
<ul>
<li>
Relocation stipend if you’re moving from outside of LA
</li>
</ul>
<ul>
<li>
Flexible vacation policy
</li>
</ul>
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Hadrian Is An Equal Opportunity Employer
It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Frontend Software Engineer

<h3>Job Description</h3>
Job Description
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.
About the Role
We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment.
What You'll Do
<ul>
<li>
Contribute to the development of novel machine learning techniques for visual generative modeling
</li>
<li>
Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers)
</li>
<li>
Help optimize model performance and scaling capabilities
</li>
<li>
Assist in ensuring safe and robust model deployment
</li>
<li>
Collaborate with cross-functional teams to integrate research innovations
</li>
<li>
Participate in research discussions and contribute to technical documentation
</li>
</ul>
Required Qualifications
<ul>
<li>
BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome)
</li>
<li>
2+ years of experience in Machine Learning
</li>
<li>
Strong foundation in machine learning, particularly generative models
</li>
<li>
Solid programming skills in Python and PyTorch/TensorFlow
</li>
<li>
Experience with deep learning frameworks and model training
</li>
<li>
Understanding of fundamental concepts in computer vision and generative AI
</li>
<li>
Project experience (academic or personal) with generative models
</li>
<li>
Clear communication skills and ability to work in a research team
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Research projects or thesis work in generative AI
</li>
<li>
Experience with different types of generative models:
<ul>
<li>
Diffusion Models
</li>
<li>
GANs
</li>
<li>
Transformer architectures
</li>
<li>
Large Language Models
</li>
</ul>
</li>
<li>
Familiarity with distributed computing and GPU optimization
</li>
<li>
Contributions to open-source ML projects
</li>
<li>
Academic publications or workshop papers
</li>
<li>
Experience with ML infrastructure and deployment
</li>
</ul>
This position is onsite at our San Francisco office (4–5 days per week).
We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. 
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

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