Full-Time
Updated on 9/3/2026
Climate-aligned HPC powered by wasted energy
$117k - $138k/yr
San Francisco, CA, USA
In Person
Bachelor's
See people who can refer or advise you
Crusoe Energy Systems uses wasted, stranded, or clean energy sources to power high-performance computing and AI workloads. It turns otherwise unused energy into scalable computing resources and offers technical support to enterprises in AI and data-intensive fields. Unlike traditional data centers, Crusoe colocates infrastructure at energy sources to capture excess energy and convert it into computer power, reducing emissions. Its goal is to help the energy transition by providing climate-aligned, reliable computing while boosting resource efficiency.
Company Size
1,001-5,000
Company Stage
Series F
Total Funding
$18.7B
Headquarters
Denver, Colorado
Founded
2018
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
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
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.
Crusoe has registered two additional data-centre buildings at its Goodnight campus near Claude, Texas, with estimated construction costs totalling $1 billion, according to state filings. The buildings would add approximately 1.61 million square feet to the Armstrong County development, also known as Project Llano. Each single-storey structure is planned at roughly 805,380 square feet, with multiple data halls, office space and support areas. Public reporting has linked Google to the campus development through intermediary Ensign Infrastructure. Building 3 is scheduled for completion on 1 August, whilst Building 4 has a March 2027 completion date. Power plans include grid-supplied electricity and potential on-site generation, with a natural-gas plant proposal for up to 933 MW capacity. Separately, Crusoe announced a partnership with Aalo Atomics to examine modular nuclear generation for future data centres.
Crusoe and ON.energy have announced a partnership to deploy 5 gigawatts of AI UPS™ technology across multiple hyperscale campuses, with commissioning starting in 2026 and continuing into 2027. AI data centres create unprecedented grid challenges. During training, thousands of GPUs ramp up and down in synchronised bursts, causing power demand fluctuations hundreds to thousands of times daily. These load swings can propagate through interconnection points into transmission systems. ON.energy's patented AI UPS™ is a medium-voltage uninterruptible power system that sits between power sources and data centres. It decouples facilities from the grid, protecting equipment during voltage faults whilst preventing GPU load swings from affecting the grid. The technology has been validated against ERCOT's Large Load Interconnection requirements, meeting grid stability and voltage ride-through standards.
Crusoe and Lancium announced a 1.0 gigawatt AI data centre campus in Childress, Texas. The grid-connected facility will span 270 acres owned by Lancium, which will develop and manage the site's energy infrastructure, whilst Crusoe will design, build and operate the data centre. Construction is expected to begin in the third quarter of 2026, creating thousands of construction jobs and over 100 permanent positions. The campus will support deployment of hundreds of thousands of advanced AI accelerators for training or inference. This marks the second site using the same partnership structure between the companies, following their collaboration in Abilene. The development will feature closed-loop, non-evaporative liquid cooling systems and behind-the-metre solar and energy storage resources.
Crusoe, an AI infrastructure company, has launched Serverless Fine-Tuning and Self-Serve Deployments in its Crusoe Intelligence Foundry platform. The new capabilities allow data scientists and ML engineers to customise open-source AI models with proprietary data and deploy them to production without managing infrastructure. Serverless Fine-Tuning enables teams to launch fine-tuning jobs through a simple interface, selecting from curated open-weight models and uploading custom datasets. Jobs run on distributed AI-optimised infrastructure with automated recovery. Completed model weights are provided in portable format and can be deployed immediately or downloaded for external use. Self-Serve Deployments offer production-grade inference on NVIDIA H100 or H200 GPUs, billed per GPU hour. Teams can deploy models directly from fine-tuning workflows or select base models optimised for throughput or responsiveness. Both features will be generally available next week.