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Entry Level Nvidia Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer

New York, NY · On-site

You'll work across training infrastructure, inference optimization, and reinforcement learning ... NVIDIA GPU programming (Triton, CUTLASS, custom CUDA kernels) and deep NCCL knowledge * FP8 or FP4 ...

Nvidia

Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership. * Mentor interns and junior researchers to develop technical growth within the team.

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

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How much do entry level nvidia machine learning jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for entry level nvidia machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.
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Entry Level Nvidia Machine Learning jobs near you
Infographic showing various Entry Level Nvidia Machine Learning job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Performance Engineer Intern, Systems Software- Fall 2026

Performance Engineer Intern, Systems Software- Fall 2026

Nvidia Corporation

Saint Louis, MO • On-site

Full-time

Posted 10 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is a worldwide technology company headquartered in Santa Clara, California. NVIDIA manufactures graphics processing units (GPUs), as well as system on a chip units (SOCs) for the expanding markets. Our work in visual computing, the art and science of computer graphics, has led to thousands of patented inventions, breakthrough technologies, deep industry relationships and a globally recognized brand. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers inventions such as artificial intelligence and autonomous cars.
You would join the team responsible for the maintenance, development, and execution of Desktop Gaming Performance testing in Linux and Windows environments for the world's fastest, power efficient GPUs. This job has a preferred duration of 8-12 months.
What you'll be doing:
  • Writing and maintaining containerized GPU accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.
  • Running, validating, and analyzing benchmarking models at scale on HPC clusters.
  • Visualizing performance data, building charts and dashboards using internal schemas and tooling.
  • Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.

What we need to see:
  • Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.
  • Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.
  • Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships.
  • Active experience with Python.
  • Working comfort in a Linux command-line environment with version control.
  • Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference).

Ways to stand out from the crowd:
  • Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.
  • Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.
  • Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).
  • Experience with containerized applications and resource management.
  • Interest in quantitative finance and applying performance data to real-world problems.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until July 10, 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

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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