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 Display software stack on Linux/Android
Strong understanding of modern display hardware I/Ps
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.
Top Skills
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.”
