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Full Time Nvidia Machine Learning Jobs (NOW HIRING)

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and ... NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA

$143K - $189K/yr

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and ... NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and ... NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

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Full Time Nvidia Machine Learning information

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How much do full time nvidia machine learning jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for full time nvidia machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers or AI research scientists at top technology companies can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced degrees, extensive experience, and expertise in deep learning, neural networks, and high-performance computing environments.

What is the difference between Full Time Nvidia Machine Learning vs Data Scientist?

AspectFull Time Nvidia Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with Nvidia toolsBachelor's or higher in CS, Statistics, or related fields; data analysis skills
Work EnvironmentTech companies, AI research labs, Nvidia-specific projectsVarious industries including tech, finance, healthcare
Employer & Industry UsagePrimarily Nvidia, tech giants, AI startupsBroad industry use, including tech, finance, consulting

Full Time Nvidia Machine Learning roles focus on developing AI models using Nvidia's hardware and software, often requiring specialized knowledge of Nvidia tools. Data Scientists analyze data to extract insights across industries. While both roles involve data and AI, Nvidia Machine Learning positions are more hardware and software-specific, whereas Data Scientists have broader data analysis responsibilities.

How much do NVIDIA machine learning engineers make?

NVIDIA machine learning engineers typically earn a salary ranging from $100,000 to $160,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in deep learning and GPU programming can earn higher compensation, often supplemented with bonuses and stock options.

Which 5 jobs will survive AI?

Full Time Nvidia Machine Learning roles are likely to persist as they involve developing and maintaining AI models, which require specialized expertise in deep learning, programming, and hardware optimization. Jobs in AI research, data science, software engineering, AI hardware engineering, and technical product management are expected to remain in demand due to their complexity and the need for human oversight. These roles often require advanced skills, certifications, and continuous learning to adapt to evolving AI technologies.

How difficult is it to get hired at NVIDIA?

Getting hired for a full-time machine learning role at NVIDIA can be competitive, often requiring strong technical skills in deep learning, programming (such as Python and CUDA), and relevant experience or advanced degrees. The hiring process typically involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit.
What are the most commonly searched types of Nvidia Machine Learning jobs? The most popular types of Nvidia Machine Learning jobs are:
What states have the most Full Time Nvidia Machine Learning jobs? States with the most job openings for Full Time Nvidia Machine Learning jobs include:
Full Time Nvidia Machine Learning jobs near you
Infographic showing various Full Time Nvidia Machine Learning job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 9 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

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving vehicle powered by AI can meander through a country road at night and find its way. NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots, and self-driving vehicles that can perceive and understand the world.

Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV. We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, and AI infrastructure who are passionate about solving the hardest problems for self-driving cars. Are you interested in inventing human-level AI for perception in the unconstrained world under any conditions? If so, join us!

What You'll Be Doing:

  • Model Development: Design, train, and optimize innovative machine learning models for LiDAR perception (e.g., road element detection, semantic segmentation, tracking).

  • Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.

  • Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to shipping them as part of the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.

  • Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance.

  • Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.

What We Need to See:

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

  • 6+ years of relevant proven industry experience applying machine learning to address real-world problems.

  • Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.

  • Deep practical experience applying machine learning to lidar/camera perception in automotive or related fields.

  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.

  • Building and sustaining training and essential metric workflows for large-scale datasets.

  • Excellent communication and analytical skills. Self-motivated drive to solve hard problems.

Ways to Stand Out From the Crowd:

  • LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera in a production environment.

  • Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.

  • AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.

  • Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).

We believe that realizing self-driving vehicles will be a defining contribution of our generation (e.g., traffic accidents are responsible for ~1.25 million deaths per year worldwide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most brilliant and talented people in the world working here. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 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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