Top Tech Jobs & Startup Jobs in Seattle, WA

Responsible for analyzing architectural requirements, delivering high-performance RTL blocks, collaborating with engineers, and assisting in IP solution integration.

Design and develop software solutions for data center servers, focusing on Linux kernel modifications, device drivers, and system optimizations while directly collaborating with Cloud Service Providers.

Design and build real-time, physics-informed AI models and synthetic data pipelines for quantum calibration and decoding. Develop surrogate models and GPU-accelerated implementations, apply reinforcement and online learning for calibration policies, co-design low-latency calibration-decoding systems, and collaborate across engineering and research to enable fault-tolerant quantum hardware.

Lead development and maintenance of node provisioning, OS image build/packaging, and nodepool lifecycle for NVIDIA Kubernetes Engine. Build CAPI providers, BYON onboarding, hardened image pipelines with automated CVE remediation and compliance gating, and automated test suites. Troubleshoot node-layer failures at scale, collaborate with upstream Kubernetes/CAPI communities, and ensure reliable GPU-optimized node operations across large clusters.

Lead alignment of NVIDIAcompiler codebases with open-source projects, build tooling and workflows to improve developer productivity, automate rebasing/patch management and apply AI-assisted workflows, while partnering with architecture and CI teams to scale changes across NVIDIA.

Lead research and development of algorithms and systems for robotic manipulation and loco-manipulation; integrate methods into real robot systems; co-lead multi-person projects; publish and engage with the academic community; transfer research into NVIDIA products; and mentor interns and junior researchers/engineers.

Lead pre-silicon system software bring-up and validation on simulation platforms. Develop automation, tools, and workflows to improve simulation-based development, debug complex cross-stack issues, enable teams to use virtual platforms, and drive platform readiness for new chips in early-development environments.

Senior software engineer on Developer Tools working across frontend and backend to design, implement, and ship profiling features for cloud and cluster environments. Collaborate with cross-functional teams, interact with users, and deliver end-to-end product features from prototypes to demos focused on collecting, analyzing, and visualizing performance data.

Provide technical support to NVIDIA Enterprise customers by triaging and resolving issues, working with engineering on reproductions/logs, applying AI/ML and agentic AI to build support tools and products, documenting interactions and knowledge, and owning cases to resolution (occasional weekend/holiday support).

Lead the architecture and delivery of high-scale web products across frontend and backend services, mentoring engineers, and improving code quality. Collaborate to enhance AI infrastructure for efficient research management.