Director of Engineering, Compute Cloud
Crusoe · San Francisco, CA - US
Infrastructureonsitedirector$285k–$335k
At a glance
Highlights
- Lead foundational IaaS offerings for carbon-reducing AI cloud platform.
- Build high-performance GPU compute for fast-growing AI companies.
- Define long-term roadmap for Crusoe Cloud compute engineering.
What they offer
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
Experienced engineering leader who thrives in ambiguity and moves with urgency. Passionate about sustainable AI infrastructure and mentoring high-performing teams to deliver reliable cloud products.
Requirements
- 7+ years of engineering management experience, 10+ years in software engineering
- In-depth understanding of Compute products (CPU, GPU, ASIC accelerators) and customer consumption
- Understanding of hypervisors and virtualization technologies and how they enable cloud computing
- Familiarity with AI/ML workloads and compute requirements for cloud data centers
- Proven experience building scalable, highly available fault-tolerant distributed systems
- Knowledge of full software development life cycle practices including testing and operations
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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