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 an extraordinary Program Architect to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Automotive Solution Engineering team, you will lead the adaptation of DRIVE OS solutions to various Automotive customers’ car platforms equipped with different sensors.
What you will be doing:
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Complete ownership of DRIVE OS programs based on Tegra SoCs, leading a team comprising engineers, functional, safety and security managers, program manager and SQA
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Drive high level requirements, architecture and design, safety analysis and test activities of DRIVE OS
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Define policies such as code change acceptance criteria, code branching, release criteria, release mode and cadence
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Decide upon priorities and roadmap of DRIVE OS releases taking into account use cases and needs of multiple DRIVE OS customers
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Guide the team in resolving complex customer escalated issues with a customer-first and solution-oriented approach and communicate effectively with them to explain the status and analysis
What we need to see:
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BS/MS or equivalent experience.
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10+ years of overall experience, preferably in the automotive industry, with 3+ years of leadership experience.
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Background in embedded software development and deep knowledge of product development lifecycle.
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Strong understanding of QNX/Linux operating system
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Strong C/C++ programming and debugging skills
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Understanding of ARM processor architecture fundamentals
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Knowledge on hypervisor and device driver development for virtualized environments
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Exposure to functional safety architecture to meet ISO26262 standard
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Effective written and verbal communication regardless of audience or issue complexity.
Ways to stand out from the crowd:
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Extensive development experience on Linux/QNX OS
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Ability to solve/root-cause/triage complex embedded system issues
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.”
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