Description:
About Rivian:
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary:
As part of the Autonomy Systems Integration team, you will be fundamental in the successful development and deployment of Rivian’s suite of ADAS/Autonomy features. You will be part of the Palo Alto based System Integration team which works cross functionally with Rivian SW development teams based locally and throughout Rivian locations around the country. This role is expected to be onsite, with occasional travel required in order to meet development and testing needs.
Responsibilities:
- Support system software development planning in coordination with mechanical and electrical builds for proof of concepts, rapid prototyping, and small fleet retrofits.
- Provide comprehensive advance systems expertise in integrating and bringing architecture changes and component revisions, thus ensuring that new configurations work as expected.
- Serve as a primary contributor to ensure software system robustness & assist with advance technology SW integration in the vehicle network.
- Debug functional issues on the vehicle where the root cause could span any combination of physical, electrical, and software elements.
- Prioritize and escalate issues based on their impact on the user and the program.
- Responsible for maintaining and improving the overall health and stability of data collection vehicle software through KPI analysis.
- Triage system software bugs and investigate perceived issues, escalating when appropriate and driving to resolution.
- Vehicle bring up of in-house high compute ECUs and full autonomy sensor suite for data collection.
Qualifications:
- Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
- 5+ years of experience working on automated driving applications.
- Software development experience. Able to read/debug code, familiar with Git, Jira, and software development lifecycle.
- Excellent documentation and organization skills are required.
- Ability to work in a fast-paced environment, collaborating with cross functional teams.
- Good communication, able to convey both detailed explanations and high-level status updates and know when each is appropriate.
- Strong understanding of Automotive CAN and Automotive Ethernet networking with prior experiences debugging related issues.
- Strong knowledge of complex systems and able to plan at the architecture level and deep dive into software development.
- Strong knowledge of integration of Lidar, Radar, and Camera sensor fusion for data collection.
- Prior project management experience of complex systems is a plus.