Top Tech Jobs & Startup Jobs in Seattle, WA

Lead deployment and scaling of NVIDIA data center GPU and networking platforms for hyperscalers. Drive cross-functional alignment with product and engineering, analyze performance and deployment data, troubleshoot GPU/network/driver/container issues, and enable platform improvements and large‑scale operationalization.

Build and optimize local LLM inference and agent runtimes for Windows and GeForce RTX GPUs. Profile and reduce latency/memory, integrate CUDA/TensorRT pipelines, implement sandboxed security and privacy routers, and harden multi-agent orchestration for constrained consumer hardware while collaborating across research, driver, and open-source teams.

As a Principal System Architect, you'll define GPU architecture, lead cross-functional teams, evaluate power and performance, and mentor junior engineers in SoC development.

The role involves developing AI-driven compiler technologies, optimizing workflows, integrating learning systems, and collaborating on next-gen compiler capabilities for improved performance.

The role involves developing AI models for autonomous vehicles, focusing on LLMs and VLMs, and ensuring seamless deployment and integration in production environments.

Provide pre-sales technical support and solutions architecture for NVIDIA networking (Spectrum-X) in AI/HPC deployments. Develop proofs-of-concept, debug complex firmware and networking issues, collaborate with customers and R&D, and help define product requirements and features.

Lead research and prototype novel real-time path tracing, sampling, lighting, and denoising methods; implement prototypes, publish, transfer ideas to product teams, and mentor researchers and interns.

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.

Serve as a trusted technical advisor to NVIDIA Cloud Partners to design, integrate, and deploy large-scale GPU AI/HPC cloud infrastructure. Lead PoCs and production deployments of models, frameworks, and software stacks, run technical workshops and presentations, collaborate with sales, engineering, and product teams, and drive customer adoption and consumption.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.