Staff Software Engineer, Crusoe Energy Systems
Control Plane
$208.6-254.4k
+ Bonus and RSUs
Office located in Sunnyvale, CA
Renewable-powered AI infrastructure
Be an early applicant
Renewable-powered AI infrastructure
501-1000 employees
Be an early applicant
$208.6-254.4k
+ Bonus and RSUs
Office located in Sunnyvale, CA
501-1000 employees
Company mission
To accelerate the abundance of energy and intelligence.
Role
Who you are
- 8+ years of software development experience with a mastery of modern compiled languages—Go is highly preferred, but Rust or C++ are also valued
- Proven track record of designing, deploying, and scaling fault-tolerant distributed systems and managed cloud services at high scale
- Deep technical proficiency with the modern infrastructure stack, including Kubernetes, Docker, Terraform, Postgres, pub/sub messaging, and sophisticated CI/CD pipelines
- A strong understanding of how cloud resources (Compute, Network, Storage) are abstracted and managed in an IaaS environment
- Demonstrated experience in guiding engineering teams, improving onboarding processes, and driving the professional growth of those around you
- Exceptional ability to articulate complex technical trade-offs to both engineering peers and non-technical stakeholders
What the job involves
- We are seeking a Staff Software Engineer to architect and scale the next generation of Crusoe Cloud’s Control Plane
- As a Staff Control Plane Engineer on the Compute team, you will be responsible for the high-availability systems that manage our global fleet of AI-optimized compute, network, and storage resources
- This is a high-impact role where you will move beyond feature development to define the systemic architecture of our IaaS platform
- You will ensure that as Crusoe scales to meet massive AI demand, our control plane remains fault-tolerant, performant, and seamlessly integrated with our underlying high-performance hardware
- Design and lead the implementation of scalable, reliable microservices that power the Crusoe Cloud control plane and manage complex virtualized resource lifecycles
- Build the backend primitives that underpin our IaaS platform, ensuring high throughput and low-latency API responses for large-scale cluster provisioning
- Collaborate with Product, Networking, Storage, and Hardware teams to evaluate emerging frameworks and tools, creating differentiated cloud solutions for AI/ML customers
- Drive company-wide architectural decisions that improve the maintainability, observability, and disaster-recovery capabilities of our distributed systems
- Mentor senior and mid-level engineers, lead rigorous design reviews, and evolve our hiring practices to build a world-class engineering organization
- Design Distributed Systems: Author and review comprehensive design docs for multi-region control plane services that must handle thousands of concurrent resource state transitions
- Optimize for Scale: Identify and eliminate bottlenecks in our resource orchestration layer, utilizing tools like Kubernetes, Go, and specialized distributed databases
- Collaborate Across Teams: Partner with SRE and Cloud Support to translate operational feedback into architectural improvements that harden our production environment
- Lead Technical Excellence: Spend time pairing with team members to solve "impossible" bugs or architectural hurdles, fostering a culture of technical rigor and customer-centricity
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 $1.4B in its latest 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
LoDo, 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.
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