The "Automotive Vehicles Platform team" is searching for a Senior System software Engineer to develop and bring NVIDIA's autonomous vehicle platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize 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 relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.
What you'll be doing:
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Develop creative continuous software integration methods to streamline embedded development internal to Nvidia and across Nvidia Drive Autonomous vehicle solution partners.
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Design and Implement infrastructure to enable low latency development on Tegra based Autonomous Vehicle Simulation & Car platforms.
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Contribute to platform software development, tools, filesystem customization and software integration in different OS environments.
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Collaborate with other engineering teams to enable CI based solutions for Simulation Software in Loop & Hardware in loop validation, automated sanity testing, Car validation and deliver software releases.
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Work proactively with other engineering teams such as system architects, software/firmware engineers, HW/SW QA teams and application engineering teams to drive cross team dependency and schedule alignment, coordinate bring up progress and debug to meet production release timelines.
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Regularly engage with customer teams directly to productize workflows for platform integration
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Work closely with other software engineers within the organization to identify and implement, build & packaging infrastructure requirements, automated tests to accelerate development for Autonomous Vehicles
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Contribute to best-practices for building, testing, and releasing software.
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Work towards enabling the best user experience by analyzing complex technical issues and independently drive resolution across multiple teams
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Work in an environment which involves Hypervisor, Linux, QNX RTOS.
What we need to see:
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BS, MS in CS/CE/EE (or equivalent experience).
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5+ years in a related field.
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Strong software development skills in python.
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Proven experience in embedded systems, SW/HW cross domain knowledge.
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Experience in software architecture design
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Strong debugging skills from application to kernel level on embedded hardware.
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Exposure to cloud services, jenkins, and Docker working with continuous integration & continuous deployment systems.
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Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment
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Self-motivated, organized and proactive engineer
Ways to stand out from the crowd:
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Strong communication skills and ability to collaborate with multiple cross functional teams
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Prior experience in Automotive field
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Background in Bazel build system
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Prior experience with linux & QNX filesystem , QNX RTOS is a major plus.
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Background in automotive ECU software integration
The base salary range is 148,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.”