Join NVIDIA’s powerful Networking Silicon engineering team as a Synthesis Senior CAD Engineer! In this pivotal role, you'll be at the forefront of developing the industry’s advanced high-speed communication devices, delivering outstanding efficiency and minimal latency. This is your chance to architect, build, and improve advanced RTL to PNR tools, flows and methodologies using the world’s latest process technologies. Be part of a group that’s driving technology forward and pushing the frontiers of development.
What you will be doing:
Methodology Deployment: Design and refine sophisticated Synthesis flows to meet ambitious Power, Performance, and Area (PPA) objectives.
Partner closely with upstream Front-End Design and downstream Place & Route (P&R) flows development teams. Define boundaries, resolve design constraints, and bridge systemic execution gaps.
Develop robust and scalable scripts using Tcl/Python to improve Flow Turnaround Time (TAT). Integrate next-generation capabilities such as AI/ML automation into production runs.
Serve as a subject matter expert and trusted representative for adjacent project teams. Provide proactive support, deep-dive debugging of complex tool failures, and formal synthesis training to build teams.
What we need to see:
Academic Background: B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
Core Synthesis Experience: 3+ years of hands-on experience in VLSI synthesis flows, with deep, proven expertise in Synopsys Fusion Compiler or Design Compiler (DC-Top/DC-Ultra).
Technical Skills: Strong proficiency in Tcl or Python scripting within a production-level CAD/EDA environment.
Attitude & Ownership: A highly enthusiastic, dedicated approach with a demonstrated "sense of ownership" to proactively step into process vacuums and drive complex tasks to completion.
Ways to stand out from the crowd:
Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Genus/ Innovus/Tempus).
Experience in methodology definition / flow ownership of synthesis / Place and Route/ STA steps is an advantage.
Great teammate with strong ownership, self-learning skills, and the ability to work autonomously.
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!
Skills Required
- B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
- 3+ years hands-on experience with VLSI synthesis flows
- Deep proven expertise in Synopsys Fusion Compiler or Synopsys Design Compiler (DC-Top/DC-Ultra)
- Strong proficiency in Tcl or Python scripting in a production CAD/EDA environment
- Experience deploying synthesis methodology and meeting Power/Performance/Area (PPA) objectives
- Familiarity with Synopsys (DC/FC/PrimeTime) and Cadence (Genus/Innovus/Tempus) EDA tools
- Experience in methodology definition or owning synthesis/PNR/STA flows
- Strong ownership, self-learning, and ability to work autonomously and as a teammate
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.
NVIDIA Insights
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.”
