Posted:
12/18/2024, 5:14:54 PM
Location(s):
Karnataka, India
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
Software Engineering
NVIDIA Silicon Solutions group is seeking a versatile engineer to be part of a High Speed Interconnect validation team. You will dive into high-speed interconnects like PCIe, NVLINK, C2C - perform bringup. 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:
Develop strategies and infrastructure for next generation HSIO (PCIe, Coherency Interfaces) bring up, validation and product integration with a deep understanding of IO design, specs, use case and topologies.
Ensure interoperability with connected devices and system components in complex interconnect topologies
Ready to deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams
Work on system level power strategies to continue pushing performance in power constrained systems
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:
BS or MS degree in EE/CE or equivalent experience
Minimum 3 years working in post-silicon bring up, IO validation, and/or power optimizations on High Speed IOs for datacenter and Automotive ecosystems.
Experience with HSIOs like PCIE or USB including understanding of process/temp/voltage sensitivity on BER
Experience with system level and interconnect power management optimizations.
Background of electrical tuning/performance/challenges of HSIOs
Understanding of firmware/driver structures and their interaction with HW.
Hands-on validation lab experience with silicon bring-up, lab debug and lab tools (oscilloscopes, multi-meters, logic analyzers)
Strong EE fundamentals, knowledgeable in computer architecture, high speed interfaces, timing analysis, process variations, statistical error rates and power analysis.
Excellent problem solving, teamwork, and interpersonal skills.
Background with automation scripting in languages such as Perl, Python, tcl.
Experience with Linux
#LI-Hybrid
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality