NVIDIA Corporation

Senior Software Engineer, L4 - Autonomous Vehicles

NVIDIA Corporation$184K — $287K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD with 4+ years, MS with 6+ years, or BS with 8+ years in Computer Science, Computer Engineering, or a related field.
  • Production experience in autonomous driving systems.
  • Experience with AI foundation models or large-scale ML systems.
  • Proven work on End-to-end driving models.
  • Background in Robotics or embodied AI systems.
  • Knowledge of system architecture development from scale.
  • Hands-on experience with DVLA / VA driving models.

Responsibilities

  • Compose and build the architecture for next-generation self-driving vehicle technology.
  • Develop Prediction, Decision, Planning, and Control architecture.
  • Implement robust system-level safety and fallback strategies.
  • Create End-to-end data-driven autonomous vehicle pipelines.
  • Engage with large-scale model inference architecture.
  • Contribute to the integration of innovative robotics research into self-driving technology.
  • Develop planning and reasoning models based on World Model principles.

Benefits

  • Eligible for equity and benefits.
  • Work alongside world-class engineers in a cutting-edge environment.
Full Job Description
At NVIDIA, we are building the next generation AI-native autonomous driving architecture - combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical robotics stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical safety architectures and large-scale AI-driven systems. If you want to work on problems that build the future of autonomous systems over the next decade, this is the place.

What You'll Be Doing:
  • You will compose and build the architecture behind next-generation self-driving vehicle technology.
  • Work on Prediction, Decision, Planning and Control architecture
  • Have exposure to Classical safety stack
  • Build robust system-level safety and fallback strategies
  • Work on End-to-end data-driven AV pipelines
  • Hands on experience in DVLA / VA driving models
  • Develop a World Model-based planning and reasoning model
  • Have the exposure to engage with Large-scale model inference architecture
  • Contribute to the integration of innovative research in robotics into our self-driving vehicle technologies.
  • Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.


What We Need To See:

We're looking for engineers who can build systems - not just components.
  • 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.
  • Production experience in autonomous driving systems
  • Worked on AI foundation models or large-scale ML systems
  • Helped drive End-to-end driving models
  • Experience working on Robotics or embodied AI systems
  • Knowledge and experience in System architecture from 0  1  scale.


Ways To Stand Out From The Crowd:
  • PhD in a relevant field or related research experience
  • Knowledge of CUDA is a plus


NVIDIA is widely recognized as one of the world's most innovative technology companies - driving breakthroughs in AI, autonomous systems, and high-performance computing. As part of our Autonomous Driving division, you'll work alongside world-class engineers to bring next-generation driving intelligence from research to reality.

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 27, 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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