HSIO Validation Engineer

NVIDIA•Santa Clara, CA

1d•Hybrid

About The Position

NVIDIA’s invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with GPUs serving as the brains of computers, robots, and self-driving cars. Today, we are increasingly known as “the AI computing company.” We are actively seeking the smartest minds to join our company and usher in the next wave of computing. NVIDIA’s Silicon Solutions Group is responsible for crafting NVIDIA’s GPUs and SoCs into groundbreaking platforms for autonomous machines, Cloud and Data Centers, Deep learning, High-Performance Computing, Gaming, and Entertainment solutions. What you'll be doing: Drive the planning and execution of PCIe/NVLINK/C2C or similar HSIO interfaces across functional bring-up, system-level validation, productization, and troubleshooting for NVIDIA GPUs, CPUs, and SOCs. Drive schedule, programming guides, customer critical issues, manufacturing yield improvements, and design feedback. Investigate technically complicated HSIO bugs and help drive debug efforts across various teams Coordinate with logic design, circuit design, board design, Simulation, diagnostics, ATE, firmware, driver, and marketing teams to drive the chip into production. Develop new methodologies to improve the silicon validation process, helping meet upcoming industry standards for performance, adaptability, and safety. Ensure interoperability with connected devices and system components in sophisticated interconnect topologies. Engage proactively with multi-functional engineering teams, including system architects, mixed-signal design, DGX, software/firmware, hardware/software quality assurance, operations, and application engineering, to facilitate the design, development, troubleshooting, and release of upcoming products. What we need to see: BS or MS in Electrical or Computer Engineering (or equivalent experience) and a minimum of 5 years of relevant experience In-depth understanding of PCIe (or similar) protocol and characterization/validation methods in a post-silicon environment Excellent knowledge of Signal integrity concepts, Silicon characteristics, and high-speed/SERDES functional validation Good knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers) and hands-on post-Si bring-up, functional validation of HSIO interfaces Understanding of firmware/driver structures and their interaction with HW. Strong in scripting languages (Perl, Python) to write direct test/debug programs for stress and failure analysis Strong project management, collaboration, and communication skills NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Requirements

BS or MS in Electrical or Computer Engineering (or equivalent experience) and a minimum of 5 years of relevant experience
In-depth understanding of PCIe (or similar) protocol and characterization/validation methods in a post-silicon environment
Excellent knowledge of Signal integrity concepts, Silicon characteristics, and high-speed/SERDES functional validation
Good knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers) and hands-on post-Si bring-up, functional validation of HSIO interfaces
Understanding of firmware/driver structures and their interaction with HW.
Strong in scripting languages (Perl, Python) to write direct test/debug programs for stress and failure analysis
Strong project management, collaboration, and communication skills

Responsibilities

Drive the planning and execution of PCIe/NVLINK/C2C or similar HSIO interfaces across functional bring-up, system-level validation, productization, and troubleshooting for NVIDIA GPUs, CPUs, and SOCs.
Drive schedule, programming guides, customer critical issues, manufacturing yield improvements, and design feedback.
Investigate technically complicated HSIO bugs and help drive debug efforts across various teams
Coordinate with logic design, circuit design, board design, Simulation, diagnostics, ATE, firmware, driver, and marketing teams to drive the chip into production.
Develop new methodologies to improve the silicon validation process, helping meet upcoming industry standards for performance, adaptability, and safety.
Ensure interoperability with connected devices and system components in sophisticated interconnect topologies.
Engage proactively with multi-functional engineering teams, including system architects, mixed-signal design, DGX, software/firmware, hardware/software quality assurance, operations, and application engineering, to facilitate the design, development, troubleshooting, and release of upcoming products.