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 focused on developing, integrating and supporting the data collection fleet architecture, including HIL benches, in-house ECUs, sensor integration and loggerware. This role 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 to meet development, testing and support needs. Responsibilities Maintain and improve Data Collection HIL benches (hardware and software), ensuring they are available for development and release testing; develop automated test cases using pytest and Linux tools. Support bring-up and integration of in-house high-compute ECUs for data collection, including OS/BSP integration, interface validation and HW/SW debug. Support initial integration of new ADAS sensors (Lidar, Radar, Camera) onto data collection platforms, including network configuration, time-sync validation and data-quality verification. Support development, maintenance and validation of loggerware tools and OS, including logging hardware bring-up and bug fixes. Support the triage of system hardware and software bugs on the bench and vehicle, reproducing issues, root-causing across electrical, firmware and software layers, and escalating based on impact to users and the program. Collaborate cross-functionally and support integration efforts for Data Logging architecture development. Document integration procedures, test results and bench configurations so work can be handed off to platform and operations teams. Qualifications A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a closely related field is required. Ability to work in office 5 days a week; you are a person who runs towards solving problems. Proficiency in Python, Bash, and C++ is essential for developing, testing, and deploying automated driving applications. Strong attention to detail and documentation skills to successfully manage multiple tasks efficiently. Proven track record of successful cross-functional collaboration with teams internal and external to the team. Strong knowledge of ADAS sensors (Lidar, Radar, and Camera) and their applications for data collection. Knowledge of network architecture (TCP/IP, UDP, PTP, hardware layer). Familiar with Git, Jira, and software development lifecycle tools. Hands-on experience with HIL or bench test environments, including test automation in Python/pytest. Experience with embedded Linux bring-up and debug (bootloaders, kernel/driver configuration, PCIe and Ethernet interfaces) is strongly preferred. Ability to read schematics and use lab equipment (oscilloscope, logic analyzer, DMM) for HW/electrical debug is a plus. Pay Disclosure The salary range for this role is $162,800-$203,500 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Please note that we are currently not accepting applications from third party application services. Maintain and improve Data Collection HIL benches (hardware and software), ensuring they are available for development and release testing; develop automated test cases using pytest and Linux tools. Support bring-up and integration of in-house high-compute ECUs for data collection, including OS/BSP integration, interface validation and HW/SW debug. Support initial integration of new ADAS sensors (Lidar, Radar, Camera) onto data collection platforms, including network configuration, time-sync validation and data-quality verification. Support development, maintenance and validation of loggerware tools and OS, including logging hardware bring-up and bug fixes. Support the triage of system hardware and software bugs on the bench and vehicle, reproducing issues, root-causing across electrical, firmware and software layers, and escalating based on impact to users and the program. Collaborate cross-functionally and support integration efforts for Data Logging architecture development. Document integration procedures, test results and bench configurations so work can be handed off to platform and operations teams. A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a closely related field is required. Ability to work in office 5 days a week; you are a person who runs towards solving problems. Proficiency in Python, Bash, and C++ is essential for developing, testing, and deploying automated driving applications. Strong attention to detail and documentation skills to successfully manage multiple tasks efficiently. Proven track record of successful cross-functional collaboration with teams internal and external to the team. Strong knowledge of ADAS sensors (Lidar, Radar, and Camera) and their applications for data collection. Knowledge of network architecture (TCP/IP, UDP, PTP, hardware layer). Familiar with Git, Jira, and software development lifecycle tools. Hands-on experience with HIL or bench test environments, including test automation in Python/pytest. Experience with embedded Linux bring-up and debug (bootloaders, kernel/driver configuration, PCIe and Ethernet interfaces) is strongly preferred. Ability to read schematics and use lab equipment (oscilloscope, logic analyzer, DMM) for HW/electrical debug is a plus.