Top Tech Jobs & Startup Jobs in Seattle, WA

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 incident response, threat hunting, cloud and product security investigations across corporate, cloud, and product environments. Conduct digital forensics, malware analysis, vulnerability investigations, and cloud workload response across AWS, Azure, GCP, Kubernetes, and containers. Develop automated detection and response playbooks, map threats using MITRE ATT&CK, advise engineering and business teams, and strengthen security policies and defenses.

Develop and maintain automated integration and deployment for components in a Kubernetes-based software stack. Manage third-party dependencies, validate compatibility, maintain integration workflows, troubleshoot cross-component issues, and ensure compatibility with NVIDIA hardware. The role requires extensive Linux software development experience, Python proficiency, Kubernetes and container expertise, and collaboration with QA, CI/CD, development teams, and upstream projects.

Design and deploy AI networking platforms in customer data centers. Partner with customers on GPU, compute, storage, and fabric architecture; support infrastructure bring-up; troubleshoot InfiniBand, RoCE, Linux, NIC, and switching issues; conduct technical reviews; build proof-of-concepts; and translate customer requirements into product and engineering feedback. Collaborate with systems engineering, product management, and sales while supporting large-scale AI cluster deployments.

Leads engineering enablement for large-scale AI/HPC clusters, managing a support team, training and documentation, request intake and prioritization, specialist debugging coordination, and user community development. Partners across architecture, software, firmware, networking, storage, datacenter operations, performance, and program teams. Uses service metrics and user feedback to improve workflows, self-service guidance, resource allocation, and support quality.

Lead the architecture and implementation of NVIDIA’s large-scale data retrieval platform for foundation-model training. Build web crawling, source discovery, indexing, scheduling, fetching, ingestion, provenance, and policy-enforcement systems. Ensure production reliability, scalability, observability, and cost efficiency while supporting open-web, licensed, partner, code, STEM, and multimodal data. Partner across engineering, research, product, legal, privacy, and governance teams, mentor engineers, and set technical direction.

Architect and develop production software for datacenter power and performance management. Responsibilities include real-time control policies, hardware-software interfaces, validation automation, silicon bring-up, debugging across firmware, drivers, hardware, and platform layers, and power optimization across racks and data halls. The role requires collaboration with GPU, ASIC, firmware, validation, and datacenter systems teams throughout the product lifecycle.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Build and operate security controls, telemetry, detections, and enforcement for NVIDIA’s large-scale EDA compute, storage, and networking infrastructure across on-premises and multi-cloud environments. Investigate threats, respond to incidents, automate secure configurations and compliance evidence, threat-model infrastructure, and manage security technology lifecycles. The role requires hands-on Linux, networking, programming, infrastructure security, and collaboration with infrastructure and security teams.