Senior CDC and STA Engineer

Posted 2 Days Ago
Be an Early Applicant
Westford, MA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
You will analyze and improve design methodology for CDC, RDC, and STA constraints in DPUs and SOCs, driving key sign-offs and developing associated checks. Collaborate on frontend and backend assertions to support design integrity and optimization for high-speed communication devices.
Summary Generated by Built In

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 solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA is looking for best-in-class CDC/STA 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 crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.

What you will be doing:

  • You will play a major role analyzing the design and driving fixes as well as developing, maintaining, and improving our Lint, Clock Domain Crossing (CDC), Reset Domain Crossing (RDC) and Static Timing Analysis (STA) constraints and methodology for our DPUs and SOCs across block level, cluster level, and/or full chip level.

  • Responsibility for analyzing and optimizing the CDC and RDC sign-offs for DPUs and SOCs.

  • Develop and maintain key CDC/STA checks and associated sign-offs for DPUs and SOCs.

  • Help in driving frontend and backend assertions needed to support CDC/RDC/STA constraints and assumptions.

What we need to see:

  • Great teammate

  • BS (or equivalent experience) in Electrical or Computer Engineering

  • Minimum 5+ years experience or MS (or equivalent experience) with 4 years experience in Synthesis and Timing.

  • Expertise in Static Timing Analysis (STA), Clock-Domain Crossing (CDC), and Reset Domain Crossing (RDC) solutions.

  • Experience in critical path planning and crafting needed solutions.

  • Power user of tools like Synopsys PrimeTime, Spyglass, VC-Static, or Meridian

  • Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence.

  • Proficiency in Python, Tcl and Make for automation and scripting tasks.

NVIDIA is widely considered to be the leader of AI computing, and 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. If you're creative and autonomous, we want to hear from you.

The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Python,Tcl
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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