ML Systems Engineer - Accelerate GPU Training; Equity
Listed on 2026-11-05
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Software Development
AI Engineer (Applied/Software), AI Reliability/ Performance Engineer, Machine Learning/ ML Engineer
Digital Waffle is seeking a Member of Technical Staff, ML Systems in San Francisco (On-site). You will optimize GPU and system performance for image, video and world-model workloads, and build distributed inference and training engines across multiple GPUs.
You will profile bottlenecks with Nsight, write low-level CUDA and Triton code, and own communication performance (NCCL, RDMA over Infini Band/RoCE) to accelerate production workloads, reporting directly to the CEO.
Consider building your career as a ML Systems Engineer - Accelerate GPU Training (Equity) at Digital Waffle.
All applications are reviewed carefully by our team.
The position is based in Menlo Park, CA, United States.
This opportunity is part of our work in IT & Technology, Engineering.
The advertised compensation is 350..
We aim to respond to suitable candidates as soon as possible.
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