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Palo Alto, California, United States
Onsite
TEAM
The Automated Driving and ADAS group is developing a scalable, data-driven approach to autonomous and assisted driving. Our advanced vehicle architectures consist of a sophisticated network of sensors and embedded high-performance computers. The Vehicle Software Platform team focuses on developing robust, sophisticated software platforms and tooling that underpin the functionality of modern vehicles. This includes base system software, sensor integration, vehicle integration, middleware such as scheduling, logging, and replay, and inter-ECU communication.
WHO ARE WE LOOKING FOR?
For this position, we are looking for a candidate with a strong software and systems generalist with a background in embedded, robotics, or automotive systems and the ability to work hands-on in a fast-paced, collaborative, and intercultural environment.
Work with the extended team to architect, design, implement, test, and integrate features into the AD/ADAS vehicle platform.
Set up or adapt build flows, and other relevant tooling.
Be excited about working hands-on in a fast-paced environment on software closely connected to operating systems, compute hardware, sensors, and vehicles.
Be ready to dive-in and learn across the technology stack and leverage experience to develop solutions with sound design principles, extensibility, and safety in mind.
Set the roadmap by working with Hardware, Systems Integration, and ADAS application teams and influence strategic decisions within and outside the team.
Be a self-driven leader, support best software practices, and mentor junior engineers.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field highly preferred.
5+ years of relevant work experience.
Proven track record of shipping software to production in our or a nearby domain (e.g., automotive, aerospace, defense, robotics)
Ability to operate effectively and autonomously across multiple teams, and navigate technical ambiguity with only high-level direction.
Strong C++ and Python programming skills.
Strong debugging and troubleshooting skills.
Excellent understanding of embedded software and systems (automotive, aerospace, robotics, etc.) and related interfaces (Ethernet, CAN, etc.)
Experience with system software development (e.g. drivers, filesystems, sockets) on Linux and/or QNX
Generalist attitude with proven ability to dive deep fast and willingness to learn continuously.
Ability to evaluate approaches and make correct tradeoffs
Experience with automotive or robotics middleware and SDKs such as ROS, AutoSAR AP, or Android
Experience with sensor integration (e.g., camera, lidar, radar)
Experience with automotive software, ideally for ADAS
Insight into real-time, distributed, and parallel computing
Experience with ISO-26262, Autosar CP/AP, or other safety standards