$285,000 – $335,000
Listed on Crusoe’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead the engineering team building cloud compute infrastructure and virtualization capabilities for an AI-focused cloud platform. This role suits experienced engineering managers who understand distributed systems, hypervisors, and GPU compute, and want to scale a team solving energy-efficient AI infrastructure challenges.
Our summary, not Crusoe’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- 7+ years of engineering management experience
- 10+ years of software engineering experience
- In-depth understanding of CPU, GPU, and ASIC accelerator products
- Knowledge of hypervisors and virtualization technologies
- Understanding of AI/ML workload compute requirements
- Experience building and maintaining scalable distributed systems
- Knowledge of software engineering practices and SDLC best practices
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Nice to have
- Production infrastructure operations experience with SLOs and SLAs
- Fleet-wide observability and monitoring expertise
- Deep Linux and configuration management knowledge
- Modern deployment automation expertise
- Leadership in ambiguous, fast-moving environments
- Active open-source contributions to cloud infrastructure, containerization, or virtualization projects