Jobs at NVIDIA

Lead system-level power failure analysis for data center systems and compute modules, driving customer-return investigations from symptom confirmation to root cause and corrective action. Use lab instruments and Linux-based diagnostics to reproduce, isolate, and analyze complex power issues, correlate field data and telemetry, partner with cross-functional teams, and deliver concise technical and executive reports.

Manage day-to-day communications and operations between Creative and business units. Lead project scoping, scheduling, resource allocation, QA, and delivery across campaigns (email, social, events, video, 3D, web). Proactively identify risks, coordinate cross-functional teams and contractors, and ensure timely, high-quality creative output.

Lead customer-facing quality assurance for hardware products: manage customer communications, audits, metrics, and crisis response; drive root-cause analysis, corrective/preventive actions, cross-functional coordination, and continuous improvement to increase customer satisfaction.

Lead customer-facing quality assurance for hardware products: manage customer communications, track quality metrics, coordinate audits, drive root-cause analysis and corrective/preventive actions, and work cross-functionally to resolve critical issues and improve product reliability.

Design, build, and operate production-grade applied AI systems and agentic workflows. Implement services, APIs, data pipelines, benchmarking/validation harnesses, and observability using distributed systems and GPU-accelerated infrastructure. Drive architecture, performance tuning, testing, CI/CD, and cross-team execution from prototype through deployment and ongoing support.

Lead commercial efforts for NVIDIA AI-Factory deployments across NALA by engaging clients, partners, and solution architects; develop proposals, prioritize opportunities, translate technical solutions into business value, and coordinate cross-functional teams to ensure successful delivery and service growth.

Design, implement, and operate large-scale, high-performance distributed storage clusters for AI/HPC workloads. Build monitoring, logging, alerting, automation, and capacity management; optimize latency, throughput, caching, tiering, and data placement. Support lifecycle from design to production, perform incident response and blameless RCA, and participate in on-call rotation to maintain availability, performance, and security.

Design and develop system-level software for Windows on Arm SOCs. Work spans pre-silicon and board bring-up, platform drivers, BSP, debug tools and triage automation, OEM co-engineering, boot/security/OS drivers, architecture modeling, and taking devices from pre-silicon to production.

Lead cross-functional teams to manage end-to-end NPI PCB programs (HDI/HLC) from stack-up and DFM through fabrication and delivery. Own schedules, risk registers, supplier coordination, metrics, and executive reporting while driving continuous process improvements and program KPIs.

Design and review PCB/board-level systems for NVIDIA GPU/Tegra products, collaborate with cross-functional teams, optimize circuits for performance and cost, create release documentation, and improve design flows and infrastructure.

The Implementation Methodology Engineer will oversee design methodologies, optimize implementation flows, and collaborate with design teams to improve performance in complex projects.

Join NVIDIA's GPU-Networking team as a Chip Design Verification Engineer, focusing on RTL design verification, planning, coding, coverage, and integration to enhance GPU silicon products.

The role involves launching GPU server products, developing diagnostic tests, ensuring compliance with engineering standards, and leading production optimization efforts.

Seeking a Senior Developer Relations Manager to engage developer ecosystems and promote NVIDIA's AI technologies, providing technical expertise and support for adoption across partners.

Lead a team of Supplier Quality Engineers, ensuring high quality standards for AI systems, and collaborating with various internal and external teams to manage manufacturer quality performance and continuous improvements.

The role involves designing and developing advanced block storage capabilities, focusing on Linux kernel coding for distributed storage solutions. Collaboration with teams and external partners is essential.

Manage a team of engineers in Formal Verification to ensure the correctness of NVIDIA's networking products, defining strategies and collaborating with multiple teams.

The GPU Architect will advance GPU architecture, develop testing infrastructure, compile architecture features for AI and graphics, and validate performance models.

This role involves firmware development for NVLINK-C2C interfaces, boot architecture, and systems validation in NVIDIA's Memory Subsystem team, requiring substantial experience in firmware design.

The Senior Product Development Engineer - Boards role involves guiding complex board products from design to production, working with cross-functional teams, analyzing data, and optimizing manufacturing processes.