Performance Engineer (Inference, Training & GPU)
San Francisco
Workplace: OnsiteFull timeUSD 200,000 - 300,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsSkills: ["Python","C++","CUDA","Rust","Go","Distributed systems","GPU","Inference","Training","Pipelines"]Senior engineer at the research-platform interface building mission-critical systems for World Labs. Design, build, and ship end-to-end training and data infrastructure, productionize models for serving, and own parts of the inference stack. Collaborate with ML researchers to improve iteration speed, reliability, and developer experience while tackling distributed systems challenges and optimizing throughput and GPU utilization.
