Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves developing an inference framework for large language models and optimizing performance on embedded platforms, collaborating across teams and contributing to CUDA kernel development.

Manage a team developing accelerated image and data compression libraries. Define project goals, roadmap, and scope; ensure execution and delivery; elevate engineering practices; collaborate with internal and external customers and the open-source community while fostering an inclusive, innovative environment.

Lead the design and implementation of GPU compute clusters for deep learning and high-performance workloads, manage large-scale systems and ensure efficient resource utilization.

The Senior Production Engineer will scale AI infrastructure, manage production systems, implement monitoring capabilities, and ensure reliability and performance across NVIDIA's AI clusters.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

Lead development of AIConfigurator's optimization engine and production tooling to generate high-performance LLM deployment configurations. Build Python/Rust APIs, CLIs, SDKs and deployment artifacts for Dynamo, Kubernetes, TensorRT-LLM, vLLM and SGLang. Integrate performance data, benchmarking, and profiling to validate and optimize deployments on NVIDIA GPU platforms.

The Senior Solutions Architect will lead software development, optimize CI/CD systems, develop cloud infrastructure solutions, and collaborate across NVIDIA teams.

Design and simulate analog/digital circuits and power delivery networks (die to platform) for processors. Perform block- and system-level simulations, ensure reliability/performance, mentor junior engineers, and collaborate globally to improve netlist and timing quality.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Lead the design and implementation of a GPU-accelerated propagation engine for predicting radio signal travel in 3D environments. Focus on real-time ray-tracing for 5G and 6G network simulation, optimizing for effective channel characterizations and rapid updates.