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.
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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!
