Senior Applied Machine Learning Engineer - VLSI Design

Job Title

Senior Applied Machine Learning Engineer - VLSI Design

Role Summary

Work on AI-driven software systems for circuit design within a multi-functional team focused on VLSI/ASIC design automation. Build and deploy ML models, data analysis pipelines, and agentic workflows to accelerate end-to-end design automation and improve circuit optimization and SPICE correlation.

Hybrid role based in Santa Clara, CA; collaborate with hardware, EDA, and manufacturing teams to integrate AI into production design flows.

Experience Level

Senior — typically requires 4+ years of relevant experience in circuit design, VLSI, ASIC, EDA, or silicon analysis.

Responsibilities

Primary duties include data analysis, model development, and integration of AI systems into EDA/design flows.

• Analyze pre-silicon and post-silicon hardware design data and perform manufacturing process variation analysis.
• Develop models and algorithms for VLSI circuit design tasks such as timing, circuit optimization, and SPICE correlation.
• Translate design requirements into data science, ML, and agentic system problems; architect and implement solutions.
• Build, test, validate, and release models and AI systems that integrate with internal ML, automation, and visualization tools.
• Extract features, raise and validate hypotheses, and create self-improving workflows driven by data.
• Optimize models, algorithms, and autonomous optimization systems to meet desired quality-of-result (QOR) targets.

Requirements

Must-have and preferred qualifications.

• Must-have: 4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
• Must-have: Proficient programming skills in Python and C++.
• Must-have: Applied math/ML or software programming experience with demonstrated ability to apply ML techniques to practical problems.
• Nice-to-have: Experience with deep learning frameworks and agent tools such as PyTorch, LangChain, or LangGraph.
• Nice-to-have: Experience building AI systems for EDA, design automation, or autonomous design-space exploration and optimization.
• Nice-to-have: Experience building agentic systems, autonomous optimization loops, or production-scale ML/AI platforms.
• Effective verbal and written communication and technical presentation skills.
• Self-starter with a passion for continuous learning and sharing results across teams.

Education Requirements

MS or PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or a related technical field preferred; equivalent practical experience accepted.

Base salary ranges by level: Level 3: 152,000 USD - 230,000 USD; Level 4: 168,000 USD - 264,500 USD. Eligible for equity and benefits.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.