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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Software engineering, Distributed systems, Reliability engineering, Cloud platforms, Kubernetes
San Francisco, California, United States · Remote OK
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher …
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San Francisco, California, United States · Hybrid
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Staff Systems Electrical Engineer Hardware Development · San Francisco About Impulse We’re Impulse. We’re a team of engineers, designers and innovators based in San Francisco who believe making good decisions for your ho…
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San Francisco, California, United States · On-site
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About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash …
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ABOUT SELA Sela is the market-leading AI voice agent for mortgage lenders. Founded in 2024, we've grown like crazy (~$0 to $10M in annualized revenue in 18 months), and currently count 5 of the 10 largest independent mor…
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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Job Requisition ID # 26WD100063 Position Overview Autodesk is a leading provider of AI-powered design & construction management solutions. We are looking for a creative and growth-oriented Director of Revenue Marketing f…
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San Francisco, California, United States · Hybrid
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Develop and implement advanced diagnostic, observability, and automation tooling for high-performance GPU compute clusters and data center infrastructure. Manage the health and scalability of the GPU fleet while collaborating with operations to ensure system stability and performance.
Requires 2-3 years of software engineering experience with expertise in distributed systems, cloud platforms, and at least one programming language like Go, Python, Java, or Rust. Candidates must possess strong analytical skills and the ability to independently develop scalable solutions for complex hardware and software environments.
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
We are seeking a highly skilled and motivated Software Engineer to join Crusoe’s Data Center Infrastructure Engineering team. This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems. The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters.
The ideal new team member will be a hands-on problem solver who is comfortable working independently. The new team member will play a critical role in maintaining the health and scalability of Crusoe’s rapidly growing GPU fleet.
Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems.
Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X.
Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware.
In conjunction with data center operations develop innovative tooling and AI agents for managing the critical environment.
Developing tooling for post-repair validation and testing tools such as burn-in, Pytorch, and NVIDIA NCCL to ensure system stability and performance.
Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success.
Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems
1 year of software engineering experience.
The ability to identify a problem, rapidly develop a scalable solution and ship it.
Ability to lean in and assist team members working on critical or complex technical initiatives.
Ability to set the technical direction for a specific project and execute.
Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.)
Strength in at least one programming language - Go, Python, Java, Rust.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently and within a team
Experience with Temporal and Kubernetes.
Experience working directly with hardware vendors.
Background in large-scale GPU fleet operations or hyperscale data center environments.
Industry competitive pay
Restricted Stock Units in a fast-growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement
Subscription to the Calm app
MetLife Legal
Company paid commuter benefit; $50 per pay period
Compensation will be paid in the range of up to $117,000 - $135,000 + Bonus. 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.
The AI factory company. We are on a mission to accelerate the abundance of energy and intelligence.
As the AI factory company, Crusoe is on a mission to accelerate the abundance of energy and intelligence. The company provides a reliable, scalable, cost-effective, and energy-first solution for AI infrastructure. By harnessing large-scale energy resources, building AI-optimized data centers, and delivering an AI cloud platform, Crusoe empowers its customers to build the future faster.
Offices: Denver, Colorado 80202, US
Based on 4910 listings with disclosed salaries, most technology jobs in San Francisco, CA pay between $130k–$280k per year. Individual offers vary with seniority, company size, and specialization.
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