NVIDIA Corporation

Senior Perception Engineer - Autonomous Vehicles

NVIDIA Corporation • $152K — $287K *
Santa Clara, CA 95051In-Person
Transportation
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years in deep learning algorithm development for real-world applications.
  • Experience with multi-sensor fusion (cameras, ultrasonic, radar) for perception tasks.
  • Proven expertise in production deep learning model development and debugging.
  • Collaboration experience with data verification and ground truth teams.
  • Strong programming skills in Python and/or C++.
  • Excellent communication and teamwork skills.
  • BS/MS/PhD in CS, EE, or related fields (or equivalent experience).

Responsibilities

  • Develop and refine multi-sensor fusion deep learning models for obstacle perception in complex driving scenarios.
  • Conduct applied research to innovate algorithms that enhance 3D obstacle perception accuracy.
  • Analyze and optimize the performance of perception solutions using large-scale benchmark data.
  • Productize perception solutions by ensuring they meet safety and robustness standards.
  • Collaborate with data teams for data collection and labeling to enhance system accuracy.

Benefits

  • Eligible for equity options.
  • Access to comprehensive health benefits.
  • Opportunities for professional development.
  • Flexible work arrangements.
  • Collaborative and innovative team environment.
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 work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world. The primary approach will be deep learning. 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:
  • Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments.
  • Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios.
  • Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection.
  • Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development.
  • 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, so that value of data is maximized.


What we need to see:
  • 5+ years of 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 multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction.
  • Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models.
  • 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.
  • BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience)


Ways to stand out from the crowd:
  • Experience on end-to-end deep learning model development is a plus.
  • Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input.
  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
  • Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles.
  • Experience with development in CUDA language. The ability to implement CUDA kernels as part of training or inference pipelines.


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 July 12, 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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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