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Entry Level Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia Corporation

Backend Compiler Engineer

Austin, TX · On-site

... NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

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As of Aug 21, 2026, the average yearly pay for entry level nvidia deep learning in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

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Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
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:
  • Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience).
  • Knowledge 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++.

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.
  • Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 1, 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 Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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