Engineering Manager, AI Platform - Managed AI
Crusoe is an AI infrastructure and cloud computing company. It provides GPU cloud capacity, managed AI services, inference, fine-tuning, data centers, and energy infrastructure for AI developers and enterprise customers.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Crusoe, Inc
Crusoe designs, builds, and operates energy-first AI infrastructure, including data centers, GPU cloud computing, and modular AI factories. Crusoe Cloud provides GPU clusters, managed Kubernetes and Slurm, storage, networking, observability, managed inference, serverless fine-tuning, and model deployment through Crusoe Intelligence Foundry. Its customers include AI startups, enterprises, and organizations developing training, inference, analytics, and other compute-intensive workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead and scale a team of engineers building a platform for the full lifecycle of large language models. Guide scalable, fault-tolerant infrastructure design and implementation, shape the engineering roadmap, oversee core AI services, drive project execution, and collaborate with product, infrastructure, and go-to-market stakeholders.
Requirements
- 5+ years managing or leading high-performing engineering teams
- Experience with distributed and concurrent systems or AI infrastructure
- Deep knowledge of cloud-native environments, container orchestration, and service-oriented architectures
- Familiarity with CPU and GPU performance, inference frameworks, or large language model systems
- Experience owning deliverables from design through production
- Experience in fast-paced startup or growth-stage environments
- Proficiency in Python, Go, or Rust
- Experience with Kubernetes, gRPC, and observability stacks
- Familiarity with open-source AI ecosystems such as vLLM, Hugging Face, or Triton
Responsibilities
- Lead, mentor, and grow a team of software engineers
- Partner with leadership to define and execute the AI roadmap
- Oversee the architecture and development of core AI services
- Ensure delivery of scalable systems capable of handling millions of API requests per second
- Deliver an AI platform that supports training and agentic execution infrastructure
- Work cross-functionally with product, infrastructure, and go-to-market stakeholders
- Represent engineering in strategic discussions
- Promote knowledge sharing, technical mentorship, and evolving engineering processes
Benefits
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off
- Paid holidays
- Leave of absence programs
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance
- Short-term disability insurance
- Long-term disability insurance
- Professional development
- Tuition reimbursement
- Mental health and wellness support
- Commuter benefits
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance and emergency assistance
- Daily meals allowance
- Additional location-specific perks and programs