HSIO Validation Lead

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.
• What we need to see:
• BS or MS in Electrical or Computer Engineering (or equivalent experience) and a minimum of 8 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
• #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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until May 1, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

Additional Information

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 Co-Design 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.

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