Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the design and integration of quantum-classical systems, collaborate on technical requirements, and drive innovations for fault-tolerant quantum computing.

The role involves developing and maintaining Linux graphics driver software for NVIDIA GPUs, ensuring performance and cross-platform functionality, and engineering dynamic binary translation solutions.

Develop and evaluate quantization and sparsity recipes for LLM inference, run large-scale post-training and quantization-aware experiments, build evaluation and numerics-debugging tools, collaborate with inference framework teams, and publish or upstream improvements to production inference libraries.

Seeking a Senior Engineer in Deep Learning and Computer Vision to develop machine learning models for autonomous vehicles, utilizing NVIDIA's GPUs and collaborating with researchers.

Drive the development of agentic AI systems and lead cross-functional teams, influencing architecture, strategy, and technical direction within CUDA ecosystem projects.

The role involves developing GPU architecture innovations, benchmarking configurations, enhancing analysis infrastructure, and collaborating across teams on architecture specifications and trade-offs.

The role involves developing platform software utilizing open-source container runtimes and Kubernetes, enabling GPUs in container orchestrators, and collaborating with various teams at NVIDIA.

The role involves developing high-performance GPU memory architectures, focusing on energy efficiency, power analysis, and collaborating on system infrastructure optimization.

Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs while collaborating with teams to enhance compiler performance.

Design, build, and operate exascale distributed systems for AI research. Develop orchestration, storage, and automation for multi-region clusters, improve reliability and performance, and collaborate with security, networking, and research teams to support large-scale AI workloads.