HSIO Validation Engineer

NVIDIA

NVIDIA

Bengaluru, Karnataka, India
Posted on Tuesday, July 2, 2024

NVIDIA’s High-Speed Interconnect (HSIC) Product team is seeking a versatile engineer to be part of a Silicon Hardware team. You will dive into high-speed interconnects like NVLink and NVLink-C2C, derive validation strategies and be part of bring up, validation and interop across various end user scenarios, with strong emphasis stability and efficiency. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from artificial intelligence, consumer graphics, self-driving cars, and more.

What you’ll be doing:

  • Contribute to Validation and productization of high-speed IOs, including NVLink and NVLink-C2C.

  • Ensure interoperability with connected devices and system components in complex interconnect topologies.

  • Deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams.

  • Work closely and proactively with other engineering teams such as system architects, mixed signal, and design, DGX, software/firmware, HW/SW QA, operations and AE teams to drive design, development, debug and release of next generations products.

What we need to see:

  • BE/Btech or Mtech degree in EC/EE or equivalent experience

  • Minimum 2 years working in HSIO development, bring up planning, HSIO functional and electrical validation, and/or power optimization.

  • Experience with chip-to-chip, die-to-die interconnects like AMBA CHI, UCIe - including understanding of process/temp/voltage sensitivity on BER would be beneficial.

  • Experience with identifying full chip data paths for HSIO saturation and working with applications to stress test for stability.

  • Experience with system level and interconnect power management optimizations

  • Understanding of firmware/driver structures and their interaction with HW.

  • Strong EE fundamentals, knowledgeable in computer architecture, high speed interfaces, timing analysis, process variations, statistical error rates and power analysis.

  • Effective in a collaborative environment.

Ways to stand out from the crowd:

  • Deep understanding of technology and passionate about what you do.

  • Familiarity with statistical methods and tools for data analysis.

  • Strong collaborative and communication skills, specifically a shown ability to effectively guide and influence within a dynamic environment.

  • Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high energy environment.