Nvidia
Nvidia

60 Nvidia Machine Learning Engineer Jobs Hiring Near You

... engineer, machine learning engineer, or similar role * Hands-on experience deploying AI ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...

OR · Hybrid

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For ... Test and release models and AI systems that integrate with existing machine learning, design ...

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143K - $189K/yr

... both machine learning fundamentals and software architecture & engineering. What you'll be doing ... Collaborate with teams across NVIDIA to use performant kernel implementations within the automated ...

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$142K - $188K/yr

... both machine learning fundamentals and software architecture & engineering. What you'll be doing ... Collaborate with teams across NVIDIA to use performant kernel implementations within the automated ...

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

... both machine learning fundamentals and software architecture & engineering. What you'll be doing ... Collaborate with teams across NVIDIA to use performant kernel implementations within the automated ...

OR · Hybrid

$122K - $161K/yr

NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving ... GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve ...

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the ...

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the ...

Showing results 21-40

Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
Infographic showing various Machine Learning Engineer job openings at Nvidia in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution.
Senior Applied Machine Learning Engineer - VLSI Design

Senior Applied Machine Learning Engineer - VLSI Design

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 19 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people.
Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Our team builds AI-driven software systems for circuit design, combining automation algorithms, DL 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.

NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 7, 2026.
This posting is for an existing vacancy.
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.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993