Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and collaborate across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions.
NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!
What you'll be doing:
- Design, build, and deploy replay and simulation focused tooling and frameworks for current and next generation autonomous vehicle development and testing.
- Closely engage with external customers to lead bring-up activities and provide domain expertise to resolve functional and simulation related issues by collaborating with internal engineering and product teams across our US, APAC, and Europe locations.
- Integrate hardware and software components efficiently and build scalable software solutions for our partners. Conduct profiling, benchmarking and evaluation activities for verification.
- Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis.
- Directly impact the future of self-driving car technology!
What we need to see:
- 5+ years of work related experience in software development related to autonomous driving and/or simulation technologies and Bachelors or Masters in computer science, robotics, computer engineering, or equivalent experience.
- Track record providing robust and efficient solutions for autonomous driving (in car or simulation).
- Prior experience in application development and familiarity with middleware frameworks.
- Excellent C/C++ development skills with good knowledge of Python.
- Knowledgeable with various OS environments such as Linux and real-time operating systems and container-based virtualization workflows.
- Ease of adapting to new technologies and platforms.
- Ability to adapt to fast paced development lifecycles and multi-functional organizations.
- Strong analytical skills, seek innovative solutions, with good attention to details.
Ways to stand out from the crowd:
- Experience with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.
- Proven expertise in developing simulation solutions and experience on diverse sensor modalities such as cameras, ultrasonics, and radar.
- Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware, and/or familiarity with CUDA
- In-vehicle networking: CAN, Flexray, Ethernet, Some/IP, AUTOSAR
- Prior exposure to automotive or related sensors (camera, radar, LIDAR, ultrasonic, GPS, IMU)
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 an inclusive 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.Skills Required
- 5+ years of professional experience in software development related to autonomous driving and/or simulation technologies
- Bachelor’s or Master’s degree in computer science, robotics, computer engineering, or equivalent experience
- Track record of providing robust and efficient autonomous driving solutions in vehicles or simulation environments
- Application development experience and familiarity with middleware frameworks
- Excellent C and C++ development skills
- Good knowledge of Python
- Knowledge of Linux and real-time operating systems
- Experience with container-based virtualization workflows
- Ability to adapt to new technologies, platforms, fast-paced development lifecycles, and multifunctional organizations
- Strong analytical skills, innovative problem-solving ability, and attention to detail
- Experience with automotive design processes and standards such as ISO 26262 and ASPICE
- Experience with in-vehicle testing, simulation, and metrics development for autonomous driving systems
- Expertise developing simulation solutions and working with cameras, ultrasonics, or radar
- Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware and familiarity with CUDA
- Experience with CAN, FlexRay, Ethernet, SOME/IP, or AUTOSAR
- Exposure to automotive sensors including cameras, radar, LiDAR, ultrasonic, GPS, or IMU
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
