Member of Technical Staff, ML Systems
True Talent Solutions Partners · Menlo Park · onsite
ABOUT THE ROLE
Join an AI/ML team building and improving the training and inference stack for image, video, and world-model workloads. You will own performance across GPU kernels, distributed systems, and serving, helping make demanding models faster and more efficient.
WHAT YOU'LL DO
- Optimize training and inference performance for image, video, and world-model workloads.
- Profile and remove bottlenecks at the kernel, memory, system, and cluster levels using Nsight and related tools.
- Implement low-level optimizations with CUDA and Triton.
- Design and improve distributed training and inference engines for diffusion models.
- Improve communication performance across GPUs and nodes using NCCL, RDMA, InfiniBand, RoCE, and disaggregated serving approaches.
- Build benchmarking and regression tools to ensure performance improvements persist in production.
- Co-design kernels, runtimes, and models with target hardware in mind.
WHAT WE'RE LOOKING FOR
- At least 2 years of experience in deep learning training or inference systems, distributed systems, or related ML systems work.
- At least 1 year of hands-on ML systems or GPU performance experience in your current or most recent role.
- Experience authoring core features in an inference or training framework, such as vLLM, SGLang, TensorRT-LLM, Megatron, or a comparable system.
- Hands-on experience writing kernels for NVIDIA GPUs using CUDA, CUTLASS, Triton, or PTX. Kernel experience must include direct kernel development.
- Strong machine learning and computer science fundamentals, with a degree in computer science or a related quantitative field.
- Experience optimizing inference or training performance across GPU kernels, runtimes, or distributed execution.
- Experience with diffusion, video, image, or other multimodal workloads is valuable.
COMPENSATION & BENEFITS
Base salary is $180,000 to $260,000 annually. Visa sponsorship is available.
LOCATION
On-site in Menlo Park, California, United States.