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Crusoe Energy SystemsSan Francisco, California, USA
Engineering Manager (AI Platform, Managed AI)
On-siteFull Time$215k - $260k per yearPosted 13 days ago
About the role
- As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the design and implementation of highly scalable, fault-tolerant infrastructure
- You will lead a team of high-caliber engineers, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization, where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally
- Lead, mentor, and grow a team of high-caliber software engineers on Crusoe’s
- Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability
- Cultivate a high-performance, collaborative engineering culture grounded in technical excellence
- Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc
- Ensure delivery of scalable systems capable of handling millions of API requests per second
- Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure
- Work cross-functionally with Product, Infrastructure, and GTM stakeholders
- Represent Engineering in strategic discussions to influence AI platform growth and customer adoption
- Promote knowledge sharing, technical mentorship, and the evolution of engineering processes 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
- Excellent communicator and relationship builder
- Growth-minded leader who leads and empowers others
- Strong collaboration skills, prioritizing clarity, context, and customer impact
- Experience in fast-paced startup or growth-stage environments
- Deep knowledge of cloud-native environments, container orchestration, and SOAs
- Proven success hiring, developing, and retaining talent
- Passionate about building world-class AI infrastructure and teams
- Hands-on experience with distributed and concurrent systems or AI infrastructure
- Comfortable owning deliverables from design through production
- Ability to lead teams through ambiguity and align on complex technical goals
- Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus
- 5+ years managing/leading high-performing engineering teams
- Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton)
- Experience with Kubernetes, gRPC, and observability stacks
- Proficiency in Python/GoLang/Rust
- Background in Computer Science, Engineering, or a related technical field