Senior System Integration and Validation Engineer

Job Title

Senior System Integration and Validation Engineer

Role Summary

Lead system validation, debug, and cross-functional alignment for a flagship GPU/SoC program within the Silicon Co-Design Group. The role owns end-to-end validation campaigns, multi-team debug to root cause, and development of AI-enabled validation workflows that reduce escapes and improve ramp confidence.

Experience Level

Senior — typically 8 to 12 years of post-silicon validation, system integration, or platform debug experience.

Responsibilities

Accountable for validation strategy, large-scale test campaigns, and cross-stack debug on GPU, SoC, and platform programs.

• Own end-to-end system validation: feature checks, PVT stress, system-stress campaigns, and multi-unit fleet testing.
• Lead debug of complex cross-stack issues (logic, SI/PI, power delivery, firmware, software) and drive to root cause with reusable mitigations or product fixes.
• Develop test plans, scripts, and automation ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power/thermal dependencies into executable coverage.
• Design and deploy AI-enabled debug and validation workflows with explicit guardrails (evaluations, regression validation, false-positive handling) and measurable impact.
• Translate technical risk into decision-ready options for technical and executive stakeholders.
• Partner with global teams across silicon design, firmware, software, manufacturing, and platform engineering to resolve cross-team failures.
• Lead crisis-mode debug task forces and convert lessons into reusable methodologies.

Requirements

Key qualifications and demonstrable skills required for the role.

• 8–12 years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
• Hands-on debug depth across silicon, board, and software boundaries: logic design, signal integrity (SI), power integrity (PI), power delivery, high-speed I/O, and PVT behavior.
• Strong EE fundamentals in SI/PI, power delivery, and thermal; working understanding of GPU/CPU/SoC architecture and boot flows.
• Proven track record of taking ambiguous, multi-team failures to root-cause closure and delivering productized fixes.
• Demonstrated experience building or scaling AI-driven validation workflows with team adoption and measurable improvements in debug velocity, coverage, or escape rate.
• Experience developing test automation, large-scale stress campaigns, and regression validation frameworks.
• Effective cross-functional leadership and communication skills for coordinating globally distributed teams and presenting technical risk to leadership.

Education Requirements

BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.