ASIC Clocks Verification Engineer - New College Grad 2026

• As a Clocks team member, you will be collaborating with other architects, ASIC designers and verification engineers to verify high frequency clock structures.
• Be able to engage with multiple teams and design the GPU clock structure to satisfy all the architectural constraints.
• Your understanding of general verification principles will be valuable to verify the clocks design.
• Together with other team members, we deliver clock information to SOC verification team, timing and DFT teams. You will use Perl to improve the productivity of the above teams.
• Collaborate with Software and product group to debug GPU clock silicon bugs in our new products.
• Understand and design clocking structures to overcome sub-micron design challenges.
• You will also identify improvements in the current design and propose and implement new ways to improve the efficiency in the GPU clocking design.

• A Master’s degree in Electrical Engineering (or equivalent experience).
• Practical experience with SystemVerilog and Universal Verification Method (UVM).
• Experience with Design Verification, Logic Design, and Logic Synthesis.
• Strong coding skills in Python, Perl, or other industry-standard scripting languages.

NVIDIA is 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. Are you creative and autonomous? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 116,000 USD – 189,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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 solve, that only we can take on, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.