NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
NVIDIA Clocks and Resets group is looking for a top ASIC engineer with extensive experience in high-speed logic design and gate-level design implementation and optimization! The complexity of clocking structure has grown significantly over years with increased focus on performance and power. Modern clocking designs need to balance high frequency clocks with power optimizations, DFT, crosstalk, routing and other physical implementation and timing closure constraints. We need a dedicated and motivated engineer to work on next generation Clocking implementation for Tegra SOCs.
What you'll be doing:
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Micro-architect and Design new clocks modules and topologies in order to support all IPs constituting the SOC.
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Understand and evaluate the trade-offs across DFX, Physical Implementation, Power Optimization and Ease of timing closure to innovate and implement new Clocking topologies in RTL.
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Collaborate with multiple other SOC functions for SOC Clocking Implementation.
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Working on automation and methodology aspects to generate Clocking RTL in most efficient and scalable way.
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Get involved in end-to-end cycle of SOC execution starting from micro-arch, design implementation, design fixes, sign-off checks and all the way to Silicon bringup!
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Get exposure to CDC, RDC, Lint, Synthesis, multi-power-domain designs and latest methodologies.
What we need to see:
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B.Tech or M.Tech in Electronics/VLSI or equivalent experience, with 6+ years of relevant industry work experience
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Experience in RTL design (Verilog), Gate-level Design and Synthesis
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Strong coding skills in Perl or other industry-standard scripting languages
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Excellent interpersonal skills and ability to work with multiple teams to brainstorm optimally.
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Understanding of sub-micron silicon issues like noise, cross-talk, and OCV effects is a bonus. Prior experience in implementing on-chip clocking networks is a plus.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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.”








