Applied Machine Learning Engineer - AI for VLSI Design

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 152,000 - 264,500 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Communication","Technical presentation","Hypothesis-driven problem solving","Collaboration","Continuous learning"]

Build AI-driven software systems for circuit design by researching and implementing frontier techniques in electronic design automation. Work on pre- and post-silicon custom circuit design data, circuit/layout optimization, and Spice correlation, then develop agentic AI solutions for VLSI design. Analyze problems and datasets, validate hypotheses, and design and implement ML models and algorithms to improve desired QOR in a multi-functional engineering environment.

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FursaFursa
NVIDIA
NVIDIA
6 hours ago

Applied Machine Learning Engineer - AI for VLSI Design

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build AI-driven software systems for circuit design by researching and implementing frontier techniques in electronic design automation. Work on pre- and post-silicon custom circuit design data, circuit/layout optimization, and Spice correlation, then develop agentic AI solutions for VLSI design. Analyze problems and datasets, validate hypotheses, and design and implement ML models and algorithms to improve desired QOR in a multi-functional engineering environment.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work in a multi-functional team on pre- and post-silicon custom circuit design projects, including circuit/layout optimization and Spice correlation.
  • •Research and implement frontier electronic design automation techniques.
  • •Build and innovate agentic AI solutions for VLSI design problems.
  • •Analyze problems/datasets, raise and validate hypotheses, and design/build models and algorithms.
  • •Drive model/algorithm development until achieving desired QOR outcomes.

Pay and Benefits

Salary: USD 152,000 - 264,500 annually
Equity and Bonus:Equity

Key Requirements

  • •MS (or equivalent) with 3+ years’ experience, or PhD with 1+ years’ experience in Electrical/Computer Engineering.
  • •Strict experience in combinatorial optimization, agentic AI and large language models, and machine learning for chip design & EDA.
  • •Strong foundation in algorithms/data structures/applied math/machine learning and software programming.
  • •Proven ability writing code in Python and C++.
  • •Experience implementing techniques for electronic design automation and related circuit/layout optimization and Spice correlation (preferred/plus for standing out).
Experience:3+ yearsEDAChip designCircuit designElectronic design automationMachine learning
Education:Master's
Skills:CommunicationTechnical presentationHypothesis-driven problem solvingCollaborationContinuous learning
Tech Stack:PythonC++Machine LearningLarge Language ModelsAgentic AIDeep LearningSpiceDL models

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
Glassdoor: 4.3
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