Senior PCIe And Validation Engineer

Details

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 the GPU acting as the brain of computers, robots, and self-driving cars. Today, we are increasingly known as “the AI computing company.” We are actively looking to add the smartest brains to our company and usher in the next wave of computing.

Responsibilities

• Drive the planning and execution of PCIe and similar interfaces in the areas of functional bring-up, system-level validation, and troubleshooting for NVIDIA GPUs 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, which will help meet upcoming performance, adaptability, and safety industry standards.
• 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.

Requirements

• 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 post-silicon environment.
• Excellent knowledge of Signal integrity concepts, Silicon characteristics and high speed/SERDES functional validation.
• Detailed knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers).
• 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.