About the role
NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you'll be doing:
Perform advanced Static Timing Analysis (STA) for HSIO at chiplet and FC level.
Running Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.
Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages.
Responsible for a full timing closer and quality approval from pre-layout STA model through signoff.
AI use for timing optimization and data analysis.
What we need to see:
B.SC./ M.SC. in Electrical Engineering.
At least 5+ years of hands-on STA experience.
Experience in Prime Time and signoff methodologies.
A great teammate who thrives in a collaborative environment.
AI tools orientation or alternatively a desire to learn.
Ways to stand out from the crowd:
Agentic Frameworks.
AI prompting experience.
Experience in Linux environments.
TCL, Python, shell scripting abilities.
Experience with data collection and analysis.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
