Senior Solutions Engineer, Crusoe Energy Systems
$155-200k
Plus equity and bonus
More information about location
5 days a week in office
Renewable-powered AI infrastructure
Posted today
Renewable-powered AI infrastructure
1001+ employees
Posted today
$155-200k
Plus equity and bonus
More information about location
5 days a week in office
1001+ employees
Company mission
To accelerate the abundance of energy and intelligence.
Role
Who you are
- 2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, or GPU workloads
- Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure rather than just consuming it
- Experience deploying containerized workloads with Kubernetes or Docker
- Strong Linux command-line skills and scripting ability in Python or Bash
- Networking fundamentals: VPCs, subnets, load balancers, DNS, routing
- Clear technical communication, comfortable presenting demos and writing documentation customers actually use
- Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-through
Desirable
- Experience with distributed training or inference frameworks (PyTorch, Ray, Kubeflow)
- Infrastructure-as-Code experience (Terraform, Ansible, CloudFormation)
- GPU cluster, InfiniBand/RoCE, or Slurm exposure
- Monitoring and observability tooling (Prometheus, Grafana, Datadog, CloudWatch)
- Public technical content such as talks, blog posts, or how-to guides
What the job involves
- Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe's high-performance GPU infrastructure
- Based in our New York City office, you'll work alongside Account Executives and senior Solutions Engineers to run technical discovery, deliver demos and proofs of concept, and ensure customers land successfully on the platform
- This is a hands-on role where you'll build environments, troubleshoot workloads, and grow toward owning the technical win end-to-end
- Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud, with clearly defined success criteria and timely execution
- Support technical discovery alongside Account Executives, including mapping stakeholders, gathering requirements, and handling technical objections
- Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks, optimizing for performance and cost
- Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure, explaining tradeoffs along the way
- Document product gaps and bugs from the field with the detail Engineering needs to reproduce them, and channel structured customer feedback to Product
- Ensure clean post-sale handoffs by building transition docs and instance summaries so customer success teams start from a stable Day 1
Our take
Crusoe is tackling one of the biggest challenges facing the digital age: the enormous energy demand of data centres and AI infrastructure. As AI models grow more powerful, they require immense computing power (and therefor electricity) to train and operate. This surge in energy use has put some pressure on power grids, driven up costs, and raised environmental concerns. Crusoe is on a mission to make this process more sustainable by finding smarter, cleaner, and more efficient ways to power the data centres that drive modern computing.
The company started out by putting wasted energy to work. Originally known as Crusoe Energy, it captured natural gas that would otherwise be burned off ("flared") at remote oil sites and used it to power modular data centres. Today, Crusoe has evolved into a major player in AI infrastructure, designing and operating large-scale data centres near renewable or stranded energy sources. It's now one of a handful of "neocloud" companies (next-generation cloud providers focused on flexible, efficient computing for AI workloads). And its facilities are helping tech giants like OpenAI handle the massive computing requirements of training advanced AI models.
Recently, Crusoe has attracted some huge investor attention, tripling its valuation to over $10B and raising almost $1.4B in its 2025 funding round. It's building OpenAI's first major US data centre campus and even experimenting with bold new frontiers. In partnership with Starcloud, Crusoe plans to deploy the world's first space-based cloud computing infrastructure, powered by solar energy and orbiting the Earth by 2027. If successful, this could redefine how and where computing happens, opening up a cleaner, virtually limitless source of energy for AI's next generation.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Oct 2025
$1.4bn
SERIES E
Dec 2024
$600m
SERIES D
Total funding: $2.5bn
Company benefits
- Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
- Time away: Paid time off for vacations, family bonding, and unexpected needs
- 401(k) match: Build your financial future with our 401(k) matching program
- Mental wellness: Resources and support for your emotional wellbeing and navigating life's challenges
Company HQ
Union Station, Denver, CO
Leadership
Cully Cavness
(Co-Founder, COO & President)Began their career as an Energy Infrastructure Research Fellow before spending 3 years as a Business Development Manager at Recurrent Engineering and serving as CFO of Sword & Plough. They left their role as VP of Highlands Natural Resources to co-found Crusoe Energy Systems.
Chase Lochmiller
(Co-Founder & CEO)Prior to co-founding Crusoe in 2018, Chase was a General Partner at Polychain Capital, a Quantitative Trade at Jump Trading Group, and a Managing Director of Algorithmic Trading at KCG Holdings.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 138 more jobs at Crusoe Energy Systems