NVIDIA Corporation

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

NVIDIA Corporation$152K — $287K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD with 1+ years or MS with 5+ years of relevant experience in Computer Science or related field.
  • Proven experience building robust software solutions.
  • Passionate about AI applications in robotics and navigation.
  • Strong mathematical skills and problem-solving mindset.
  • Experience in Deep Learning and Machine Learning with a focus on Computer Vision or Planning/Control.
  • Proficient in programming and debugging with C++ and/or Python.
  • Effective communication and analytical skills with the ability to collaborate across teams.

Responsibilities

  • Stay current with deep learning research and apply innovative techniques.
  • Collaborate with researchers and engineers to develop industrial-strength ML models.
  • Guide projects from experimentation through to deployment.
  • Define and collect relevant training datasets for model development.
  • Build training pipelines and implement real-time inference systems using PyTorch, TensorFlow, or TensorRT.

Benefits

  • Comprehensive benefits package.
  • Opportunity to work with world-class engineers and researchers.
  • Equity options available.
  • Support for innovation and continuous learning.
Full 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.

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 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical 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 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 June 29, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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