The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market. This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.
What you'll be doing:
Lead software integration with a systematic approach to streamline embedded development for NVIDIA Drive Autonomous vehicle solution products.
Architect and develop platform software, tools, filesystem customization, with efficient software integration in multiple OS environments with AI powered workflows.
Proactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines.
Regularly engage with customer teams to productize workflows for platform integration.
Collaborate with other engineering teams to enable automated workflows for development, sanity testing, car validation, and software release deliveries.
Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles.
Operate in an environment involving Hypervisor, Linux, and QNX RTOS.
What we need to see:
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
8+ years of experience working on software development autonomous vehicles.
Proficient debugging skills from application to kernel level on embedded hardware.
Strong communication skills and the ability to collaborate with multiple cross-functional teams.
Proven expertise in embedded systems, architecture design and SW/HW cross-domain knowledge.
Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
Self-motivated, organized, and proactive.
Ways to stand out from the crowd:
Leveraged AI for building small to complex embedded projects to improve platform developer efficiency.
Experience with Linux and QNX filesystems, and QNX RTOS is a major plus.
Background in automotive ECU software integration or Prior experience in the automotive field.
Familiarity with the Bazel build system.
Good to have exposure in python programming, cloud services, Jenkins, and Docker in continuous integration and deployment systems.
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
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
- 8+ years of experience working on software development for autonomous vehicles.
- Proficient debugging skills from application to kernel level on embedded hardware.
- Strong communication skills and ability to collaborate with multiple cross-functional teams.
- Proven expertise in embedded systems, architecture design, and SW/HW cross-domain knowledge.
- Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
- Self-motivated, organized, and proactive.
- Operate in an environment involving Hypervisor, Linux, and QNX RTOS.
- Experience with Linux and QNX filesystems and QNX RTOS.
- Background in automotive ECU software integration or prior automotive experience.
- Familiarity with the Bazel build system.
- Exposure to Python programming, cloud services, Jenkins, and Docker for CI/CD.
- Experience leveraging AI to improve embedded developer workflows.
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.”
