Post-Silicon Validation and Methodology Engineer

Job Title

Post-Silicon Validation and Methodology Engineer

Role Summary

Work in NVIDIA's Silicon Co-Design Group to design and execute post-silicon bring-up, validation, qualification, and productization for next-generation silicon (GPU/SoC/CPU). The role focuses on building test infrastructure, characterization methods, AI-assisted lab workflows, and coverage strategies that accelerate debug and increase bring-up velocity.

This role partners with architecture, firmware, software, and build teams to close HW/SW interaction issues under lab constraints and delivery schedules.

Experience Level

Mid-level — typically 5+ years of experience in silicon bring-up, validation, debug, or productization.

Responsibilities

Primary responsibilities include ownership of bring-up plans and delivering repeatable methods and tooling that speed validation and debug.

• Own bring-up, validation, qualification, tuning, and productization from first power-on through PVT sign-off.
• Define requirements for power management and clocking features; drive coverage from pre-silicon through production in collaboration with architecture, build, firmware, and software teams.
• Design and deploy AI-assisted lab workflows for telemetry collection, automated evaluation, anomaly detection, and debug triage.
• Build test infrastructure, characterization methodologies, and bring-up playbooks to shift coverage left and raise program velocity.
• Lead root-cause analysis for complex HW/SW interaction issues and close issues under schedule pressure.
• Identify process failures in bring-up sequencing, regression frameworks, and lab metrics; redesign workflows to improve throughput and quality.

Requirements

Must-have technical skills and practical experience for day-one effectiveness. Nice-to-have items listed separately.

• Must-have: 5+ years experience in silicon bring-up, validation, debug, or productization.
• Must-have: Strong fundamentals in digital development, microarchitecture, timing, clocking, power, noise, and control systems; ability to reason across the HW/SW boundary.
• Must-have: Hands-on lab proficiency with oscilloscopes, logic analyzers, power analyzers, and instrumentation judgment during bring-up.
• Must-have: Strong programming and scripting skills (Python, C/C++); experience building lab automation or shared test infrastructure.
• Must-have: Practical experience using AI/ML tools to accelerate validation workflows (log analysis, anomaly detection, LLM-assisted triage) and evidence of validating their trustworthiness.
• Nice-to-have: Bring-up experience with GPU/SoC architectures, DFT/in-system test feature design, fault models, DPPM and RAS familiarity.
• Nice-to-have: Demonstrated impact from creating debug infrastructure, characterization methodologies, or process redesigns that improved bring-up velocity or quality.

Education Requirements

BS or MS in Electrical Engineering or Computer Engineering, or equivalent practical experience; the posting explicitly allows equivalent experience in lieu of degree.

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.