Job Requisition ID

JR2020227

Job Category

Engineering

Time Type

Full time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing — an era in which our GPUs act as the brains of computers, robots, and self-driving cars that understand the world. Doing what has never been done before takes vision, innovation, and the world’s best talent.

NVIDIA’s Silicon Co-Design Group is the team that gets every GPU, SoC, and CPU silicon program from first power-on to high-volume production. We are hiring an HSIO Validation Engineer to own characterization and qualification of high-speed I/Os — PCIe, NVLink, NVLink-C2C, UCIe, USB, UFS, and Ethernet — on brand-recent silicon serving datacenter, AI, and client markets. Your bench is where silicon meets the signal — where every link train, jitter sweep, eye diagram, and protocol corner gets exercised before the part ships. You drive characterization and debug for IO interconnects across silicon,



board, firmware, and driver — designing tests that anticipate rack-scale deployment so marginality surfaces at die-and-board scale, never in a rack. Your decisions show up in link margin, BER, power per lane, and the go/no-go calls that gate samples and production.

What You Will Be Doing

Own end-to-end characterization and validation of high-speed IO — PCIe, NVLink, NVLink-C2C, UCIe, USB, UFS, Ethernet — from silicon die through package and board, on NVIDIA GPUs, CPUs, and SoCs.
Develop and execute validation test plans for silicon and SoC-level HSIO features — bring-up, corner qualification, stress, productization, and structured DOE across PVT, board, cable/connector, thermal, and firmware variables — left-shifting silicon failures before deployment.
Drive power characterization and optimization across IO interconnects under workload-representative stimuli (MLPerf-class patterns at silicon/bo

📌 High Speed IO Validation Engineer (Bengaluru)
🏢 nvidia ai
📍 Bengaluru