About The Position
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! 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 which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
Requirements
- Master's degree or higher in Electrical or Computer Engineering (or equivalent experience).
- Proficiency in Timing and Static Timing Analysis (STA).
- Hands-on experience in full-chip/sub-chip STA and timing convergence, timing constraints generation and management.
- Expertise with industry standard EDA and timing convergence tools.
Nice To Haves
- Proven experience in timing convergence for ASICs, CPUs, GPUs or Network processors.
- Knowledge of deep sub-micron process nodes.
- Proficiency in AI/LLM and programming languages.
- Experience in physical design and optimization e.g., synthesis, floorplanning, placement, CTS, routing, power, etc. is a plus.
Responsibilities
- Drive Physical Design and timing analysis and closure of NVIDIA's GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level.
- Help in driving frontend and backend implementation including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation.
- Play a pivotal role in the success of our innovative projects and advancement of our technology.
- Work in a cross-functional environment interacting with multiple teams.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
