ZipRecruiter

Log In

1

Home Based Nvidia Machine Learning Jobs in California

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

previous pagenext page

Showing results 21-40

All JobsHome Based Nvidia Machine Learning JobsHome Based Nvidia Machine Learning Jobs in California

Home Based Nvidia Machine Learning information

What are the most commonly searched types of Nvidia Machine Learning jobs in California? The most popular types of Nvidia Machine Learning jobs in California are:
What are popular job titles related to Home Based Nvidia Machine Learning jobs in California? For Home Based Nvidia Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Home Based Nvidia Machine Learning jobs in California look for? The top searched job categories for Home Based Nvidia Machine Learning jobs in California are:
What cities in California are hiring for Home Based Nvidia Machine Learning jobs? Cities in California with the most Home Based Nvidia Machine Learning job openings:
Home Based Nvidia Machine Learning jobs near you

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Nvidia

Santa Clara, CA

Full-time

Re-posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why.

NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI company". Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!

What you'll be doing:

  • Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

  • Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.

  • Taking approaches from initial evaluation and experimentation all the way to shipping.

  • Defining and collecting training datasets.

  • Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

What we need to see:

  • PhD with 4+ years or MS (or equivalent experience) with 6+years of relevantexperience in Computer Science,Computer Engineering, or a relatedtechnical field.

  • Proven experience building robust software.

  • Passionate about Artificial Intelligence for robotics and autonomous navigation

  • Strive to learn new things and like solving hard problems

  • Math knowledge

  • Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.

  • Programming and debugging skills in C++ and/or Python.

  • Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.

Ways to stand out from the crowd:

  • Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems

  • Experience with Unsupervised or Self-supervised Learning

  • Involvement with architecture optimization, pruning, curriculum & multi-task training

  • Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.

We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 24, 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

Year founded

1993

View All Nvidia Jobs

Apply