Role Overview
The Engineering Manager, AI Platform position at Crusoe is an on-site role based in San Francisco, California. This opportunity suits an experienced technical leader who wants to direct the development of next-generation infrastructure for Large Language Models.
Key Responsibilities
Lead, mentor, and expand a team of high-performing software engineers focusing on managed AI services.
Collaborate with leadership to establish the AI roadmap, define measurable goals, and maintain accountability.
Guide the architecture and creation of core AI systems, including fault-tolerant task queues, model management, and cost-aware scheduling.
Oversee platforms designed to handle massive volumes of API requests and diverse workloads spanning training to agentic execution.
Partner cross-functionally with Product, Infrastructure, and Go-To-Market stakeholders to encourage customer adoption.
Cultivate an engineering culture based on technical excellence, transparent communication, and continuous learning.
Requirements
Bring at least three years of experience managing and leading high-performing engineering teams.
Demonstrate a proven history of hiring, mentoring, and retaining top-tier technical talent through ambiguity.
Possess hands-on background working with distributed systems, concurrent systems, or AI infrastructure.
Show deep understanding of cloud-native setups, service-oriented architectures, and container orchestration.
Maintain comfort taking ownership of technical deliverables all the way from initial design to production release.
Thrive effectively in fast-paced startup or growth-stage professional environments.
Nice to Have
Background education in Computer Science, Engineering, or a related technical discipline.
Programming proficiency in Python, Golang, or Rust.
Familiarity with Kubernetes, gRPC, and modern observability stacks.
Experience working with open-source artificial intelligence ecosystems such as Hugging Face, vLLM, or Triton.
Exposure to CPU and GPU performance metrics, inference frameworks, or specialized LLM systems.
Skills and Tools
Python
Golang
Rust
Kubernetes
gRPC
LLM ecosystems and inference frameworks
Distributed systems architecture
Salary and Benefits
Annual salary compensation ranging from $215,000 to $260,000 plus bonus opportunities
Restricted Stock Units included with all employment offers
Comprehensive health, dental, and vision insurance coverage alongside employer HSA contributions
401(k) retirement plan featuring a company match of up to 4% of salary
Paid time off, holidays, paid parental leave, and various leave of absence programs
Professional development opportunities, tuition reimbursement, and mental health support
Commuter benefits, cell phone stipends, daily meal allowances, and volunteer time off
About the Company
Crusoe operates as a vertically integrated artificial infrastructure company that owns and manages every layer of the technology stack from energy generation to AI tokens. The enterprise applies an energy-first approach to resolve power bottlenecks and meet the surging global demand for compute power sustainably.
How to Apply
Interested candidates should submit their application directly through the official Crusoe careers page to be considered for this on-site San Francisco position.
