Related skills
rust python kubernetes cuda triton📋 Description
- Set technical direction for the team's shared runtime architecture and roadmap
- Own and evolve the accelerator-agnostic runtime, with Rust and Python
- Reduce expansion cost by aligning new models with the core runtime
- Drive efficient accelerator usage: scheduling, memory across GPU/TPU/Trainium
- Build validation surfaces: partitioned builds, canary/shadow/rollback
- Collaborate with Infrastructure on compilers, build systems, and tooling
🎯 Requirements
- Deep background in systems engineering or ML infrastructure with perf profiling
- Depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium)
- Extensive software engineering in high-performance distributed systems serving millions
- Proven ability to define and use SLOs and metrics to drive latency and throughput
- Experience aligning across org boundaries and contributing to shared infrastructure
- Strong written and verbal communication; ability to influence technical direction
🎁 Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space to collaborate
🛃 Visa sponsorship
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