NVIDIA's Deep Learning GPUs have 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, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world.
We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. We are looking for a Senior System Software Engineer with strong experience in Linux/QNX/Android operating system, Device Drivers development, virtualization, and ARM architecture
What you will be doing:
Architecture, development, and enhancement of native/para-virtualized Linux/QNX device drivers
Solve complex system issues on Linux/Android/QNX OS
Lead the architecture discussions for SW components and interface with customers to support DRIVE software solutions.
Continuously evolve and support requirements gathering process and traceability flow.
Actively coordinate with cross-functional engineering teams to meet customer's requirements and to drive complex issues to closure.
Participate in architectural explorations which include feasibility studies, safety evaluations and data analysis.
Performance tuning of customer use-cases and functions on Drive OS software
What we need to see:
BS/MS or equivalent experience.
10+ years of overall experience and preferably with 4+ years of automotive industry experience.
In-depth understanding of the display software stack on Android and/or Linux including surface flinger, HW composer, DRM/KMS
Should have worked on display drivers including DP/HDMI out, understanding/working experience on display serializer would be added advantage.
Strong understanding of QNX/Linux/Android operating system and hands-on experience with QNX/Linux device driver development
Strong C/C++ programming and debugging skills
In-depth understanding of ARM processor architecture fundamentals
Background in embedded software development and deep knowledge of product development lifecycle.
Exposure to functional safety architecture to meet ISO26262 standard would be a plus
Effective written and verbal communication regardless of audience or issue complexity.
Ways to stand out from the crowd:
Extensive experience on developing/debugging complex device drivers on Linux/QNX OS
Possess in-depth expertise in embedded system-level debugging, with a focus on resolving complex performance bottlenecks and stress-related failures
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.
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
Similar Jobs
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.”
