Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 230,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Gruppe in Santa Clara is looking for a skilled engineer to develop AI-driven software systems for circuit design. You will work on projects involving hardware design data, circuit optimization, and AI systems for design automation.

The ideal candidate has a MS/PhD in Electrical/Computer Engineering, along with 4+ years of experience in circuit design. Strong coding skills in Python and C++ are necessary, along with knowledge of deep learning tools like PyTorch.

The role offers a competitive salary range and additional benefits.

Qualifications

• 4+ years of experience in circuit design, VLSI, ASIC, or EDA.
• Experience with deep learning algorithms and AI agent frameworks.
• Proven ability in writing code in Python and C++.

Responsibilities

• Work on pre-silicon and post-silicon hardware design.
• Architect and build solutions for AI/ML and agentic systems.
• Analyze datasets and optimize models to improve performance.

Skills

Circuit design

VLSI

AI/ML

Python

C++

Education

MS/PhD in Electrical/Computer Engineering or related field

Tools

PyTorch

LangChain

LangGraph

Job description

NVIDIA builds AI‑driven software systems for circuit design, combining automation algorithms, deep‑learning models, and agentic workflows to accelerate end‑to‑end design automation.

What you'll be doing:

• Work within a multi‑functional team on projects involving pre‑silicon and post‑silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.
• Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent‑driven design exploration and agent flow optimization.
• Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions.
• Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
• Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self‑improving workflows on top of them.
• Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR.

What we need to see:

• MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
• 4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required.
• Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.
• Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

Ways to stand out from the crowd:

• Experience building AI systems for EDA, design automation, or circuit design workflows.
• Research or project experience in AI‑driven EDA, circuit optimization, design‑space exploration, or autonomous design systems.
• Experience building agentic systems, autonomous optimization loops, self‑improving AI systems, or production‑scale AI/ML platforms.
• Effective verbal/written communication and technical presentation skills.
• Self‑starter with passion for growth, continuous learning, and sharing findings across the team.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000USD– 230,000USD for Level3, and 168,000USD– 264,500USD for Level4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June7,2026.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.