NVIDIA

1 month ago

Software R&D Engineer, VLSI Physical Design - New College Grad 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Join NVIDIA as a Software R&D Engineer focused on VLSI physical design algorithms. You will develop and optimize cross-engine solutions (sizing, legalization, CTS, routing, and parasitic extraction) in C++/Python within a GPU/AI hardware context, collaborating with design teams to improve PPA. This role offers high autonomy, exposure to cutting-edge EDA tools, and potential to impact world-class AI silicon.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Seniority: Entry level

Key Responsibilities

•Invent and optimize VLSI physical design engines, enabling co-optimization of legalization and sizing to boost chip frequency while reducing power across internal tools.
•Improve algorithms for gate-level sizing, buffering, clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction (in C++).
•Collaborate with design teams to discover opportunities, develop solutions, and deploy them in real-world flows.
•Own end-to-end processes from ideation to deployment, focusing on cross-engine integration and high-performance software design.
•Contribute to multi-disciplinary efforts, leveraging ML/AI techniques (e.g., reinforcement learning, GNNs) to enhance physical design workflows.

Pay and Benefits

Salary: USD 116,000 - 218,500 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•Masters or PhD in Electrical Engineering or Computer Science (or equivalent experience).
•Experience with VLSI algorithms development using C++.
•Understanding of VLSI timing optimization and related concepts (cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion).
•Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, StarRC and flows written in Perl, Tcl, and Python.

Experience:VLSIEDASemiconductorsHardware designGPUAI

Education:Master's

Skills:Problem-solvingCollaborationCommunicationIndependence

Languages:English

Tech Stack:C++PythonPerlTclICC2InnovusPrimeTimeTempusStarRCGNNsReinforcement learningMultithreadingDistributed computing

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Software R&D Engineer, VLSI Physical Design - New College Grad 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Seniority: Entry level

Key Responsibilities

•Invent and optimize VLSI physical design engines, enabling co-optimization of legalization and sizing to boost chip frequency while reducing power across internal tools.
•Improve algorithms for gate-level sizing, buffering, clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction (in C++).
•Collaborate with design teams to discover opportunities, develop solutions, and deploy them in real-world flows.
•Own end-to-end processes from ideation to deployment, focusing on cross-engine integration and high-performance software design.
•Contribute to multi-disciplinary efforts, leveraging ML/AI techniques (e.g., reinforcement learning, GNNs) to enhance physical design workflows.

Pay and Benefits

Salary: USD 116,000 - 218,500 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•Masters or PhD in Electrical Engineering or Computer Science (or equivalent experience).
•Experience with VLSI algorithms development using C++.
•Understanding of VLSI timing optimization and related concepts (cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion).
•Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, StarRC and flows written in Perl, Tcl, and Python.

Experience:VLSIEDASemiconductorsHardware designGPUAI

Education:Master's

Skills:Problem-solvingCollaborationCommunicationIndependence

Languages:English

Tech Stack:C++PythonPerlTclICC2InnovusPrimeTimeTempusStarRCGNNsReinforcement learningMultithreadingDistributed computing

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

Software R&amp;D Engineer, VLSI Physical Design - New College Grad 2026