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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to take on, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We would love to hear from you!
We are now looking for a highly motivated engineer to join this dynamic and innovative system team. In this role, you will bring to bear your knowledge of RTL verification and system design to develop and implement innovative verification strategies to deliver our next generation of NVIDIA datacenter products. Come join us and be instrumental in helping our team achieve the functionality, performance, and quality metrics considered best-in-class.
What you will be doing:
Define design processes, tool flows, and verification approaches to deliver bug-free board and system designs.
Board and system level RTL design.
Simulation and emulation of model development for board level digital and mixed signal components.
Pre-silicon verification of PCB designs including connectivity, design rule, layout and timing checks.
Collaborate with architecture, ASIC, FPGA, mixed signal, software and system design teams to develop end to end verification environments
What We Need to See:
BS or MS in Computer or Electrical Engineering (or equivalent experience)
At least 5+ years of proven experience in ASIC or FPGA verification or board design / signal integrity experience
Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative interpersonal skills.
Ways to stand out from the crowd:
Background of system validation & model to hardware correlation
Background of signal/power integrity
Knowledge of AI/ML to help with workflows
You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
