Santa Clara, CA · On-site
$143K - $189K/yr
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
Santa Clara, CA · On-site
$143K - $189K/yr
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more ...
Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more ...
... self-driving features for one of our vehicle models. You will partner with engineering, product ... NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are ...
... self-driving features for one of our vehicle models. You will partner with engineering, product ... NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are ...
In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software. We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us.
In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software. We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us.
OR · On-site
$122K - $161K/yr
In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software. We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us.
Santa Clara, CA · On-site
$143K - $189K/yr
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
Santa Clara, CA · On-site
$143K - $189K/yr
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
... NVIDIA's DRIVE self-driving platform * Regularly engage with customers directly to provide ... If you are creative, autonomous, and love a challenge, we would love to hear from you. Your base ...
... NVIDIA's DRIVE self-driving platform * Regularly engage with customers directly to provide ... If you are creative, autonomous, and love a challenge, we would love to hear from you. Your base ...
NVIDIA is at the forefront of accelerated computing, AI, and autonomous machines. From generative AI to robotics and self-driving vehicles, our technologies are transforming some of the world ...
NVIDIA is at the forefront of accelerated computing, AI, and autonomous machines. From generative AI to robotics and self-driving vehicles, our technologies are transforming some of the world ...
As a key member of our Autonomous Vehicles Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 ...
As a key member of our Autonomous Vehicles Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 ...
... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...
... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...
... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...
... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...
OR · On-site
... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...
Research in video models, VLMs, world models, robotics, or autonomous driving. * Experience with distributed training, simulation, or embodied AI. NVIDIA is widely considered to be one of the ...
Research in video models, VLMs, world models, robotics, or autonomous driving. * Experience with distributed training, simulation, or embodied AI. NVIDIA is widely considered to be one of the ...
Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more ...
Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more ...
Join our Deep Learning Engineering team within NVIDIA's Tegra Solutions Engineering organization ... Application areas include end-to-end autonomous driving, vision-language-action models, multi ...
Join our Deep Learning Engineering team within NVIDIA's Tegra Solutions Engineering organization ... Application areas include end-to-end autonomous driving, vision-language-action models, multi ...
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is recruiting top Senior Research Scientists for Autonomous Vehicle Research! AI-powered ... Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others ...
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is recruiting top Senior Research Scientists for Autonomous Vehicle Research! AI-powered ... Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others ...
At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help ...
At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help ...
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and ...
OR · On-site
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Develop use cases and system requirements for L3 and L4 autonomous driving products based on ...
$6.25 - $9.27
0% of jobs
$9.27 - $12.28
2% of jobs
$12.28 - $15.30
5% of jobs
$17.24 is the 25th percentile. Wages below this are outliers.
$15.30 - $18.31
27% of jobs
The median wage is $19.35 / hr.
$18.31 - $21.33
44% of jobs
$21.33 - $24.34
13% of jobs
$24.34 - $27.36
3% of jobs
$27.36 - $30.38
2% of jobs
$30.38 - $33.39
1% of jobs
$33.39 - $36.41
2% of jobs
$36.41 - $39.42
0% of jobs
$6
$21
$39
Team members in Nvidia Autonomous Driving roles typically work on cutting-edge projects involving development of perception, localization, mapping, planning, and control systems for autonomous vehicles. They often engage with advanced sensor technologies such as lidar, radar, and cameras, and contribute to both software and hardware integration. Collaboration is frequent, with cross-functional work spanning research, engineering, simulation, and validation teams to ensure that autonomous driving solutions are robust and safe. This environment offers ample opportunities for skill expansion and career growth as you work on real-world applications that are transforming the transportation industry.
An Nvidia Autonomous Driving job involves working on AI, machine learning, and software engineering to develop autonomous vehicle technology. Employees in these roles contribute to perception, planning, simulation, and hardware acceleration to create safer and more efficient self-driving systems. Positions range from software engineers and data scientists to hardware specialists, all focusing on innovation in autonomous mobility.
To thrive in an Nvidia Autonomous Driving role, you need strong foundations in computer science, robotics, sensor fusion, machine learning, and software engineering, typically supported by a degree in engineering or related fields. Expertise with tools such as Python, C++, ROS (Robot Operating System), and experience with simulation environments and deep learning frameworks like TensorFlow or PyTorch are commonly required. Effective communication, collaboration, and problem-solving skills help professionals excel while working on complex, multidisciplinary teams. These abilities are crucial for driving innovation, ensuring system reliability, and accelerating the safe deployment of autonomous vehicle technologies.
$143K - $189K/yr
Full-time
Posted 3 days ago
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and heterogeneous hardware architectures. We are now looking for a Senior Integration Engineer, Autonomous Vehicle.
What you'll be doing:
Defining functional software architecture NVIDIA's L2/L3/L4 autonomous driving solutions.
Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.
Optimizing product implementation to achieve target performance goals.
Diagnosing system software & functional driving issues reported on our target driving platforms, including on-road & simulation.
Create efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
Performing in-vehicle tests, collecting data and completing autonomous drive missions.
Developing system tests, documentation of product functions, evaluating quality and proposing corrective actions.
Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
Follow quality and safety standards such as defined by MISRA.
What we need to see:
PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Excellent C and C++ programming skills.
Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc. Profound knowledge of programming and debugging techniques.
Experience on developing software in heterogeneous architectures, including GPUs.
Background with version control systems GIT and build system like CMake/Bazel.
Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
Solid understanding of Linux, and/or other real-time operating systems.
Ways to stand out from the crowd:
Understanding of parallel, embedded and distributed architectures.
Great at writing low latency, highly performant code.
Great communication and analytical skills.
Self-motivated and a great teammate.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993