NVIDIA Corporation

Senior Sensor Fusion Engineer - Autonomous Vehicles

NVIDIA Corporation$184K — $356K *
Transportation
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science or related fields or equivalent experience
  • 8+ years of experience, with at least 2+ years in the AV or robotics industry
  • 2+ years of experience technically leading teams or projects
  • Strong passion for robotics and autonomous vehicles
  • Outstanding communication skills for cross-team collaboration, especially internationally
  • Independent and analytical software engineering skills
  • Experience in software development on embedded or automotive platforms

Responsibilities

  • Develop core functionality for autonomous driving across various geographies
  • Generate real-time 3D world models integrating multiple sensor inputs
  • Enable HD mapless driving in complex urban environments
  • Create accurate models for L3 level autonomy in highway scenarios
  • Build static obstacle and occupancy grids to enhance autonomous vehicle scenarios
  • Lead and mentor team members while guiding technical approaches to complex problems
  • Produce code adhering to automotive quality and safety standards

Benefits

  • Equity eligibility
  • Comprehensive benefits package
  • Opportunities for professional growth and development
  • Participation in cutting-edge AI tools and technologies
  • Exposure to global teams and diverse projects
Full Job Description
We are looking for a strong engineer in the DRIVE Road structure / Online mapping / Context Fusion team. In this role, you will help craft and guide the future of our autonomous driving solution for providing a complete 3D world model including fusing signals between map and perception. You will be working closely with our perception and planning teams in providing a world model that is complete and able to drive in the most challenging roads and intersections in the U.S and China. It is a very exciting role that provides a breadth of interesting areas and is central to our vision in AV. 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:
  • Develop core functionality for autonomous driving in all geographies based on the fusion of SOTA perception DNN and map signals.
  • Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
  • Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
  • Enable L3 level autonomy in highway scenarios by creating accurate, reliable and safe models of the world from camera, lidar, radar perception and map signals
  • Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios.
  • Be a technology leader by providing the team guidance on approaches to be taken to solve the hardest of AV problems. Be a hands-on collaborator with the team.
  • Mentoring strong engineers within the team.
  • Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions
  • Produce code and designs following automotive quality and safety standards.


What We Need To See:
  • BS, MS, or PhD in Computer Science or related fields or equivalent experience
  • 8+ years of experience, with at least 2+ years in the AV or robotics industry.
  • 2+ years of experience technically leading areas
  • Passion for robotics and autonomous vehicles
  • Drive to learn new things and tackle meaningful problems
  • Outstanding communication and cross-team collaboration especially with multinational teams across the globe.
  • Independent and analytical software engineering skills
  • Software development experience on embedded or automotive platforms.


Ways To Stand Out From The Crowd:
  • Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization or state estimation algorithms like Kalman filters, particle filters
  • Significant industry experience in the AV area esp. self-driving cars.
  • Experience developing real-time Computer Vision systems.
  • Strong API and framework design skills


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 May 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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