Engineering Manager AI Platform Managed AI
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/14/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead and scale a team of engineers building a platform for the full lifecycle of large language models. You will guide the design and implementation of scalable, fault-tolerant infrastructure, 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