Senior Software Engineer - Developer Experience
About the job
- Previous experience building developer tools and/or infrastructure for engineering teams.
- Ability to evaluate technical tradeoffs and understand how infrastructure decisions impact developer productivity.
- Fluent knowledge of industry-standard AI tooling, build tooling, containerization, and open-source development frameworks.
- Professional experience managing or developing within Kubernetes clusters and a deep understanding of container orchestration.
- Proven experience in DevOps, Site Reliability Engineering, Release Engineering, or a similar productivity-focused discipline.
- Deep understanding of automated testing infrastructure and how to integrate it into a seamless CI/CD pipeline.
- Expertise in modern programming languages, specifically Go, and advanced proficiency in Git-based workflows such as GitLab or GitHub.
- A Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related analytical field, or equivalent professional experience.
- Build fast, reliable, broadly adopted paved paths for engineers in partnership with the broader organization.
- Identify and automate friction and repetitive tasks that slow the development process.
- Develop libraries, tools, and pre-production environments for vetting service APIs and complex microservice interactions.
- Unify internal tooling and vendor services to automate workflows, build operational efficiency, and optimize security across the development stack.
- Innovate across the development lifecycle, including source code management, build systems, code review, CI/CD pipelines, platform runtimes, and telemetry.
- Lead efforts to establish a culture of continuous quality delivery that scales with engineering headcount and infrastructure.
- Build efficient systems and processes that multiply the impact of engineers.
- Active involvement in the open-source community or a track record of staying current with recent industry advancements in developer productivity.
- Background in solving complex, multi-layered technical problems and successfully automating the resulting solutions.
About the company
Crusoe builds and runs data centers for artificial intelligence, placing them near cheap or otherwise wasted energy and handling everything from the power supply to the cloud software. It developed the flagship campus in Abilene, Texas, for Stargate, the AI infrastructure project backed by OpenAI and Oracle. AI companies rent its GPU servers on demand or under longer contracts through Crusoe Cloud to train and run their models, while larger customers lease entire campuses that Crusoe develops and operates for them. The company was founded in 2018, when it began running computers at oil fields on natural gas that would otherwise have been burned off, and it is based in Denver.
Company Size
1,001-5,000
Company Stage
Series F
Total Funding
$19.6B
Headquarters
Denver, Colorado
Founded
2018
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Simplify's Take
What believers are saying
- Room to grow: Crusoe listed 358 open roles in October 2026, from cloud engineering to factory work.
- Equity has a path to cash: Crusoe was meeting IPO banks, including Goldman Sachs and JPMorgan, in August 2026.
- Steady work ahead: Crusoe reported over $140 billion in signed customer contracts in September 2026.
What critics are saying
- Projects aren't safe until built: Google asked Crusoe to leave a 1.8-gigawatt Wyoming campus, then took over in July 2026.
- The hard part is ahead: only 1 of the 6-plus gigawatts Crusoe had signed was running in September 2026.
- Less upside for new hires: Crusoe's valuation hit $30.9 billion in September 2026, triple its October 2025 level.
What makes Crusoe unique
- It makes its own electrical gear instead of waiting on suppliers: two Tulsa factories have built over 2,500 switchboards.
- Its own MemoryAlloy software lets GPUs share memory, so AI answers start up to 9.9 times faster in Crusoe's tests.
- Its power-ready land is in demand: Microsoft leased 900 megawatts at Abilene in March 2026 after OpenAI and Oracle passed.
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Benefits
Industry competitive pay
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Paid life insurance, short-term and long-term disability
Parental leave
Stock options in a fast-growing, well-funded technology company
Pet-friendly offices
Teladoc
401(k) with a 4% match
Unlimited time off
Cell phone reimbursement
Tuition reimbursement
Company paid commuter benefit; $100 per month
Calm
Growth & Insights and Company News
6 month growth
2%1 year growth
2%2 year growth
2%Crusoe, a vertically integrated AI infrastructure provider, has signed a $65 million annual agreement with Thinking Machines Lab to power inference for the lab's open models on Crusoe Cloud. Through Crusoe Managed Inference, Thinking Machines Lab will serve production workloads including its Inkling models, GLM 5.2 and 5.3, on NVIDIA HGX B200 systems connected with NVIDIA Quantum-2 InfiniBand networking. The service enables Thinking Machines Lab to scale without managing its own inference stack. The companies plan to expand into batch inference for large-scale synthetic data generation. Thinking Machines Lab joins other clients that have taken Crusoe Managed Inference past $100 million in contracted annual recurring revenue less than a year from launch.
Crusoe raised $3.9 billion at a valuation of nearly $31 billion, as it bets on factory-built data centers.
Crusoe has signed a multiyear cloud agreement to supply Perplexity with Nvidia AI chips for model training and inference, Bloomberg reported Tuesday. The deal's financial terms and capacity were not disclosed. Under the agreement, Crusoe will manage the technology throughout its operating life. More than 1,800 Crusoe employees will receive access to Perplexity's Enterprise Max product, which provides AI-powered search tools. The contract adds to Crusoe's growing cloud business, which recently secured a five-year agreement with Jane Street worth roughly $13 billion. In June, Crusoe reported 4.9 GW of contracted AI infrastructure capacity across its data centre projects and cloud platform, with a development pipeline exceeding 40 GW. Crusoe opened a 400,000-square-foot manufacturing plant in Tulsa, Oklahoma, on Monday.
Crusoe has opened its second manufacturing facility in Tulsa, Oklahoma, adding 400,000 square feet to its operations and bringing its national manufacturing footprint to roughly 1 million square feet. The AI infrastructure company has hired more than 300 local workers across its two Tulsa sites, up from the 100 initially expected when the first facility opened in 2024. The facilities produce electrical equipment for AI infrastructure, including medium-voltage switchgear, low-voltage switchboards, electrical enclosures, industrial controls, and custom-fabricated copper busbar. The company has supplied more than 2,500 switchboards to its Stargate Project site in Abilene, Texas. Crusoe now employs more than 1,800 people, with 15,000 skilled workers across its sites. The company manufactures components in-house to reduce production time and maintain quality control.
Crusoe, a cloud-computing provider and data center developer doing business with OpenAI, Microsoft Corp. and Meta Platforms Inc., has raised over $3 billion in a funding round that values the startup at roughly $30 billion, according to people familiar with the situation.