Top Tech Jobs & Startup Jobs in Seattle, WA

Manage and grow NVIDIA's networking business with Oracle by identifying opportunities for cloud and data-center deployments, working with engineering and product teams to qualify solutions, acting as customer advocate, driving forecasting and NPI, resolving product challenges, and communicating solution fit and business value to stakeholders. Travel as needed.

Lead technical partnership with Amazon to drive integration and adoption of NVIDIA libraries, models, SDKs and frameworks. Coordinate cross-functional NVIDIA teams, accelerate partner workloads, influence product roadmaps, advocate to developers and executives, and deliver joint GTM solutions and proofs-of-concept to advance integrations and adoption.

Manage and grow NVIDIA's networking business with Oracle by identifying opportunities, qualifying solutions with engineering and PM teams, driving forecasting and NPI, acting as the customer advocate, and supporting deployment of networking products in cloud and data centers.

Lead architecture, design, and development of hardware-accelerated AI networking software (BlueField DPU, ConnectX). Drive deep technical engagements with hyperscalers for design-in, bring-up, performance tuning, failure analysis, and production hardening. Partner cross-functionally to turn customer needs into product features, tooling, and roadmap items while improving performance, reliability, and debuggability across stacks.

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.

Own technical integration and adoption of NVIDIA libraries, models, and frameworks across Microsoft; coordinate product and engineering teams, drive developer advocacy, resolve technical challenges, influence partner roadmaps, and deliver joint GTM solutions and early wins.

Develop, debug, and harden kernel-mode GPU and SoC system software across design, emulation, bringup, and production. Focus on performance, power optimization, robustness, and cross-team collaboration for datacenter, desktop, workstation, and console platforms.

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.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

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