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Home Based Nvidia Machine Learning Jobs (NOW HIRING)

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

NVIDIA Corporation

$124 - $242/hr

JR2021784NVIDIA is in a unique position: we are developing AI-based products across multiple ... NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work ...

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 ... Duties and responsibilities may change based on business needs. The base salary range for this role ...

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 ... Duties and responsibilities may change based on business needs. $160,000 - $190,000 a year The base ...

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs. * Lead data ... Experience with transformer-based perception architectures or VLA models. * Familiarity with BEV ...

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Infographic showing various Home Based Nvidia Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Machine Learning Engineer

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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

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 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

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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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