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60 Nvidia Machine Learning Engineer Jobs Hiring Near You

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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.

What makes Nvidia an attractive place to work?

Nvidia is a leading technology company in the field of artificial intelligence, graphics processing units, and high-performance computing, with a strong reputation for innovation and industry leadership. The company's workplace culture values collaboration, creativity, and innovation, with opportunities for employees to work on cutting-edge projects and contribute to the development of groundbreaking technologies. Joining Nvidia offers professionals a chance to be part of a dynamic and forward-thinking organization, with opportunities for growth, professional development, and making a meaningful impact in the tech industry.

Do workers at Nvidia get paid breaks?

Sometimes. Only some people get paid breaks.
42% of people say they don’t get paid breaks.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and August 2026.

Does Nvidia pay people when they’re sick?

Yes. Most people get paid when they’re sick.
76% of people say they would get paid if they were sick but scheduled to work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

At Nvidia, are sick days and vacation days separate paid time off?

Sick days and vacation days are separate paid time off.
92% of people say they don’t have to use vacation days when they’re out sick.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.

Is the health insurance from Nvidia affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 13 people who took the Breakroom Quiz between June 2025 and August 2026.

Do people get paid time off at Nvidia?

Most people get paid time off work.
93% of people say they get paid time off.
Based on data from 14 people who took the Breakroom Quiz between June 2025 and August 2026.

How far ahead of time do people find out their work schedule?

Only some people find out their schedule four weeks ahead of time.
  • 67% of people with changing schedules find out their shifts one week or less ahead of time.
  • 0% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 33% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 6 people who took the Breakroom Quiz between April 2025 and March 2026.

Do workers at Nvidia worry about hours?

Most people don’t worry about getting enough hours.
83% of people report they don’t worry about getting enough hours.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.

Do Nvidia workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
40% report that they don’t have enough control over which shifts they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and January 2026.

How easy is it for Nvidia workers to change shifts?

Most people find it easy to change shifts.
88% of people report that it’s easy to change shifts if they need to.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

How easy is it to get time off at Nvidia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.

Do Nvidia managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
92% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and March 2026.

Do jobs at Nvidia spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
17% of people report that their job takes up time that they don’t get paid for.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.

How easy is it to take sick days at Nvidia?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia feel treated with respect by their managers?

Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
94% of people report that they get to take their breaks without interruption.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Is it stressful to work at Nvidia?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia enjoy their jobs?

Most people enjoy their job.
100% of people report they enjoy their job.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people at Nvidia recommend working with their team?

Most people recommend working with their team.
78% of people report that they would recommend working with their immediate team to a friend.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
41% of people report they didn’t get enough training when they started working here.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 94% of people report being given support to advance their career here.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do people think Nvidia’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
69% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2026.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
88% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and August 2026.

What other companies are hiring for Machine Learning Engineer jobs?

What are the most popular jobs at Nvidia?

What are the most popular categories at Nvidia?

Infographic showing various Machine Learning Engineer job openings at Nvidia in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 76% Physical, 12% Hybrid, and 12% Remote job distribution.

Senior Software Engineer, Machine Learning Inference

Nvidia

Santa Clara, CA • Hybrid

$143K - $189K/yr

Full-time

Re-posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

At NVIDIA, we're at the forefront of innovation, driving advancements in AI and machine learning to solve some of the world's most challenging problems. We're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI accelerators.

As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs. If you're ready to take on challenging projects and make a significant impact in a company that values creativity, excellence, and collaboration, we want to hear from you!

What you'll be doing:

  • Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM to supercharge inference applications for datacenter, workstations, and PCs.

  • Develop software in C++, Python, and CUDA for seamless and efficient deployment of state-of-the-art LLMs and Generative AI models.

  • Collaborate with deep learning experts and GPU architects throughout the company to influence Hardware and Software design for inference.

What we need to see:

  • BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering or a related field.

  • 4+ years of software development experience on a large codebase or project.

  • Strong proficiency in C++ (required), Rust or Python programming languages.

  • Experience in developing Deep Learning Frameworks, Compilers, or System Software.

  • Excellent problem-solving skills and passion to learn and work effectively in a fast-paced, collaborative environment.

  • Strong communication skills and the ability to articulate complex technical concepts.

Ways to stand out from the crowd:

  • Experience in developing inference backends and compilers for GPUs.

  • Knowledge of Machine Learning techniques and GPU programming with CUDA or OpenCL.

  • Background in working with LLM inference frameworks like TensorRT-LLM, vLLM, SGLang.

  • Experience working with deep learning frameworks like TensorRT, PyTorch, JAX.

  • Knowledge of close-to-metal performance analysis, optimization techniques, and tools.

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, autonomous and love a challenge, we want to hear from you. Come, join our team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#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 - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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