NVIDIA Corporation

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA Corporation$184K — $356K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD with 4+ years or MS with 6+ years or BS (or equivalent experience) with 8+ years in a relevant technical field.
  • 2+ years of technical leadership in complex projects is advantageous.
  • Hands-on experience in developing deep learning algorithms using frameworks like PyTorch.
  • Experience collaborating with data teams for data-driven development.
  • Strong programming skills in Python and/or C++.
  • Excellent communication and teamwork abilities.

Responsibilities

  • Design end-to-end perception solutions for various driving environments.
  • Conduct R&D for deep learning models on lane graph and traffic element detection.
  • Develop generalizable methods for diverse operational design domains (ODDs).
  • Prioritize data collection and labeling to enhance perception system accuracy.
  • Utilize data simulation and augmentation for challenging scenarios.
  • Meet product requirements for safety and robustness in perception solutions.

Benefits

  • Opportunity to work on cutting-edge autonomous driving technology.
  • Collaborative and learning-focused team environment.
  • Access to equity and comprehensive benefits package.
  • Involvement in high-impact projects with real-world implications.
Full Job Description
We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

What You'll Be Doing:
  • Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.
  • Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.
  • Develop generalizable approaches to support diverse ODDs and Country/region expansion
  • Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
  • Leverage data simulation and augmentation for solving extreme scenarios
  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.


What We Need to See:
  • Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
  • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.
  • Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
  • Experience in data-driven development and collaboration with data and ground truth teams.
  • Strong programming skills in python and/or C++.
  • Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.


Ways to Stand Out from the Crowd:
  • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.
  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
  • Proven expertise in deep learning backed up by technical publications in leading conferences/journals.
  • Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.


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 June 8, 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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