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Software R&D Engineer, VLSI Physical Design - New College Grad 2026
NVIDIA
US, TX, Austin +1 more · On-site · relocation$9,667–18,208 gross/mofull-timeNVIDIA Careers (offices abroad)
NVIDIA's success builds on a foundation of industry leading hardware. We achieve distinction through extensive design optimization, including combining the best of external EDA with highly optimized, internal EDA tools.
Responsibilities
- Invent new optimization engines that fuse traditionally independent engines (e.g., co-optimization of legalization and sizing) with the objective of increasing chip frequency while minimizing power consumption across a suite of internal optimization tools.
- Improve algorithms (in C++) for gate-level sizing, buffering, useful clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction.
- We as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment.
- What we need to see
- Masters or PhD in Electrical Engineer or Computer Science (or equivalent experience).
- Experience with VLSI algorithms development using C++.
- Understanding of VLSI timing optimization and related concepts, including cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion, etc.
- Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, and StarRC and typical design flows written in Perl, Tcl, and Python.
- Ways to stand out from the crowd
- C++14 or newer experience, such as lambdas and concurrency.
Languages
- Work format
- On-site
- Seniority
- Junior
- Posted
- 22 Jul 2026
- Last verified
- In the last 5 days
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