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NVIDIA

Applied Machine Learning Engineer - VLSI Design

full-time•Santa Clara•$136k - $218k

Summary

Location

Santa Clara

Salary

$136k - $218k

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role

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.

What you'll be doing:

  • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation

  • Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.

  • Responsible for translating the requirements into a data science problem, architect and build solutions.

  • Test and release of models that integrate with existing machine learning and visualization tools within the organization.

  • Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.

  • Optimize the models and algorithms until they reach the desired QOR.

What we need to see:

  • MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)

  • 5+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is required

  • Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++

  • Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plus

Ways to stand out from the crowd:

  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)

  • Effective verbal/written communication, and technical presentation skills

  • Self-starter with passion for growth, real enthusiasm for 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 136,000 USD - 218,500 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 January 27, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

What you'll do

  • Work within a multi-functional team on projects involving hardware design and related data. Responsible for analyzing datasets, validating hypotheses, and building models.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Ready to join NVIDIA?

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Frequently Asked Questions

What does NVIDIA pay for a Applied Machine Learning Engineer - VLSI Design?

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NVIDIA offers a competitive compensation package for the Applied Machine Learning Engineer - VLSI Design role. The salary range is USD 136k - 219k per year. Apply through Clera to learn more about the full compensation details.

What does a Applied Machine Learning Engineer - VLSI Design do at NVIDIA?

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As a Applied Machine Learning Engineer - VLSI Design at NVIDIA, you will: work within a multi-functional team on projects involving hardware design and related data. Responsible for analyzing datasets, validating hypotheses, and building models..

Is the Applied Machine Learning Engineer - VLSI Design position at NVIDIA remote?

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The Applied Machine Learning Engineer - VLSI Design position at NVIDIA is based in Santa Clara, California, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Applied Machine Learning Engineer - VLSI Design position at NVIDIA?

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You can apply for the Applied Machine Learning Engineer - VLSI Design position at NVIDIAdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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