Top Tech Jobs & Startup Jobs

Lead product definition and roadmap for agentic AI workflows that accelerate AV development. Design and productize agents, skills, and orchestrated workflows across data curation, simulation, training, validation, and deployment. Drive cross-team execution, define success metrics and acceptance criteria, manage stakeholder alignment, support customer engagements, and enable developer self-service adoption.

Lead production readiness and process optimization for NVIDIA AI datacenter platforms. Define test specs, validate DFx and signal integrity, qualify components, collaborate with NPI and contract manufacturers, analyze volume data to improve yield, and support customer/quality escalations to meet cost, throughput, and DPPM targets.

Analyze and optimize HPC application performance across CPU and multi-node multi-GPU systems by driving compiler and library improvements. Port and tune applications, evaluate compiler/runtime/driver impacts, and collaborate with compiler development and application engineering teams to deliver performance enhancements.

Define contamination control standards and inspection methods for liquid cooling components, develop cleanliness criteria and sampling plans, lead root-cause investigations, and qualify suppliers and processes for new-product introduction through high-volume manufacturing. Collaborate cross-functionally with design, manufacturing, supplier quality, reliability, and operations to implement cleaning, filtration, handling, and inspection solutions.

Lead technical programs with hyperscalers and OEM/ODMs to deliver AI datacenter infrastructure from design through production. Define schedules and milestones, translate customer requirements into cross-functional plans, resolve issues, manage qualification/validation, monitor factory production and yields, and communicate program health to customers and leadership. Champion post-deployment sustaining support and coordinate global teams to ensure timely delivery and customer acceptance.

Architect and lead next-generation client platform services, build scalable IaC/CaC tooling and automation, enforce technical standards, mentor engineers, collaborate with Security and Networking, drive reliability, root-cause analysis, and improve developer experience.

Lead failure analysis and debug for datacenter DGX/MGX/HGX products during mass production. Perform FA on GPU baseboards and servers at rack, system, and component levels; analyze HW/SW/FW logs; design experiments; enable DFx; deliver root cause analyses, corrective actions, reports, and debug guides; coordinate with vendors, factories, and cross-functional teams.

Lead strategic technical programs with CSPs and ODM/OEM partners to deploy NVIDIA AI datacenter platforms. Integrate datacenter tools, operationalize AI factory processes, resolve blockers, manage timelines and cross-functional teams, ensure delivery of customer-specific features, and communicate program status and risks to senior leadership.

Lead and execute physical failure analysis on advanced ICs and packaging. Develop novel FA methodologies, perform precision sample prep (cross-sections, de-layering, FIB), apply SEM/TEM/optical microscopy, drive root-cause investigations, and deliver characterization data to support design, process, and reliability improvements.

Lead integration of core system software with autonomous vehicle functions, drive vehicle bring-ups and fleet productization, debug sensors and OS/GPU stacks, develop HIL/SIL testing, and architect tooling from root-cause analysis to improve performance and stability.