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.
The Autonomous Vehicles Platform Team is looking for Senior Software Engineers and Architects to develop and bring NVIDIA's automotive platform out to the world! You will participate in a focused effort define productive ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. Proven strong software design and development experience is a must.
What you'll be doing:
- Software design, development and bring-up of next generation autonomous vehicle hardware platforms and sensors such as cameras, radars, lidars, etc.
- Collaborate with software, hardware and systems engineering teams to support bring up of new hardware, debug and resolve in-vehicle system issues, ensuring that NVIDIA HW and SW solutions are correctly integrated and working on autonomous development vehicles.
- Regularly engage with customer teams directly to customize, integrate and productize DRIVE platforms.
- Drive the reliability of the software platform which includes RADAR, LiDAR, Camera sensor processing and fusion.
- Analyze complex technical issues across software and hardware domains and independently drive issue analysis and resolution across multiple teams.
- Work in an environment which involves Hypervisor, Linux, QNX RTOS.
What we need to see:
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field (or equivalent experience).
- 5+ years of relevant experience working on software design and development.
- Excellent communication and organization skills, with a logical approach to problem solving, good time-management and task-prioritization.
- Excellent C/C++/Python programming skills.
- Experience with embedded system involving Linux/RTOS with exposure to bring-up and debugging of ARM-based SoC target hardware boards.
- Strong debugging skills from application to kernel level and comfortable working across SW/HW domains.
- Device driver knowledge is a major plus.
- Master of software debugging tools: software debuggers, analyzers, trace loggers.
Ways to stand out from the crowd:
- Prior experience with Autonomous Vehicles or Robotic systems.
- Familiarity with POSIX, QNX RTOS and associated development and debugging tools.
- Prior experience working with CAN bus, Radar, Lidar is a plus.
#AutonomousVehicles
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.
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
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related field, or equivalent experience
- 5+ years of relevant software design and development experience
- Excellent C, C++, and Python programming skills
- Experience with embedded systems involving Linux or RTOS
- Experience with bring-up and debugging of ARM-based SoC target hardware boards
- Strong software debugging skills from application through kernel level
- Ability to work across software and hardware domains
- Excellent communication and organization skills, logical problem-solving approach, time management, and task prioritization
- Knowledge of device drivers
- Experience with software debuggers, analyzers, and trace loggers
- Prior experience with autonomous vehicles or robotic systems
- Familiarity with POSIX, QNX RTOS, and related development and debugging tools
- Experience with CAN bus, radar, or lidar
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.
-
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.
-
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.
-
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.”
.jpeg)
