Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, build, and optimize GPU‑accelerated inference software and open‑source frameworks (vLLM, SGLang, FlashInfer). Improve performance and scale for LLMs and generative models across NVIDIA GPUs and edge SoCs using CUDA, CUTLASS, Triton, NCCL and profiling tools. Collaborate across teams to enable efficient model serving and deployment.

Lead deployment of NVIDIA GPU and networking solutions in customer data centers: design networks and compute/storage, debug cluster performance, run POCs, advise product roadmap, and support bring-up and customer engagements.

Lead and grow two engineering teams building NVIDIA's internal S3-compatible object storage and data movement tooling. Own roadmap execution, service reliability (SLOs, capacity, incident response), CI/CD and observability, recruiting and mentorship, and cross-team collaboration to ensure high-performance, scalable storage for AI workloads at exabyte scale.