NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 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. Today, our GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a top ASIC Verification Engineer. You should have real passion for verification methodologies and implementation that enable high quality system-level IP design and robust verification at multiple environment levels (e.g., unit, sub-system, and SOC).
What you’ll be doing:
Be an integral part of the Hardware Perf team defining and developing system-level RTL and methodologies to measure performance on the industry’s leading GPUs.
Develop test plans, tests, and verification methodologies to verify the microarchitecture and design.
Design and build new testbenches and testbench components in SystemVerilog or UVM.
Work with architects, designers, and SW engineers to accomplish your tasks.
What we need to see:
MTech or equivalent experience in VLSI or Electronics Engineering with 2+ years of relevant industry experience
Unit/Sub-system/SOC level verification experience.
Experience in crafting test bench environments for unit and system level verification.
Strong coding skills in Python or other industry-standard scripting languages.
Excellent debugging and analytical skills.
Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).
Good understanding of RTL design (Verilog).
Experience in UVM is a plus.
Great communication and collaboration skills to interact within the team and with cross-functional teams.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a passion for technology, we want to hear from you!
NVIDIA is a Learning Machine
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world’s largest industries and profoundly impacting society.
Learn more about NVIDIA .
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