ML Systems Engineer — GPU & Distributed Inference
Listed on 2026-11-04
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
The company is seeking an experienced ML systems engineer to optimize training and inference workloads for image, video, diffusion, and world-model tasks at their Menlo Park, CA site. You will profile bottlenecks, implement low-level GPU optimizations with CUDA and Triton, and help design distributed engines for diffusion models.
This role requires 2+ years in ML systems, strong CS fundamentals, and hands-on experience with PyTorch, Nsight, NCCL, and RDMA.
This is a genuine opening to take on the ML Systems Engineer — GPU & Distributed Inference role at True.
The position is based in Menlo Park, CA, United States.
This opportunity is part of our work in Management & Operations, IT & Technology.
The advertised compensation is 180..
We aim to respond to suitable candidates as soon as possible.
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