Senior AI Performance Engineer

Building the World's Favorite AI-first Cloud infrastructure company, pioneering vertically integrated, purpose-built AI infrastructure solutions.
$183,000 - $210,000
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Senior AI Performance Engineer

Crusoe Energy is revolutionizing AI cloud infrastructure with a focus on sustainable technology and climate-conscious computing. As a Senior AI Performance Engineer, you'll be at the forefront of optimizing scalable inference engines to enhance performance, efficiency, and speed. This role is crucial for Crusoe's revenue model, as improved inference speed directly impacts token throughput and infrastructure efficiency.

The position offers a unique opportunity to work with cutting-edge AI technology while contributing to environmental sustainability. You'll be responsible for developing CUDA kernels, optimizing inference engines like VLLM, and implementing performance improvements that directly impact business outcomes. The role requires expertise in CUDA/OpenCL, strong Python programming skills, and deep understanding of CPU & GPU architectures.

Working from either San Francisco or Sunnyvale offices three times a week, you'll collaborate with cross-functional teams including AI researchers and infrastructure specialists. The company offers comprehensive benefits including competitive salary, equity through RSUs, full healthcare coverage, and various lifestyle perks.

This is an ideal opportunity for someone passionate about high-performance computing and AI optimization who wants to make a meaningful impact on both technology advancement and environmental sustainability. The role combines technical challenges with purposeful work, offering the chance to shape the future of AI infrastructure while considering environmental responsibility.

Last updated 2 months ago

Responsibilities For Senior AI Performance Engineer

  • Optimize inference engines like VLLM for maximum efficiency and scalability
  • Enhance scalable AI infrastructure to accelerate AI inference
  • Develop and deploy CUDA kernels to optimize deep learning workloads
  • Conduct performance analysis on training and inference workloads
  • Engage with AI research community and contribute to open-source projects
  • Improve internal documentation and tooling standards
  • Collaborate with AI researchers, engineers, and infrastructure teams

Requirements For Senior AI Performance Engineer

Python
  • Expertise in CUDA or OpenCL with demonstrated experience developing CUDA kernels
  • Strong programming skills in Python for AI and performance optimization
  • Hands-on knowledge of training infrastructure such as PyTorch or TensorFlow
  • Strong understanding of CPU & GPU architecture
  • Ability to analyze and optimize performance at the hardware level

Benefits For Senior AI Performance Engineer

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
Education Budget
Equity
Commuter Benefits
  • Industry competitive pay
  • Restricted Stock Units
  • Health insurance package (HDHP and PPO, vision, and dental)
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company-paid commuter benefit ($100 per pay period)

Interested in this job?

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