Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

Job Summary

The Senior Manager of the ADKi (Investigation and Instrumentation) leads the team responsible for conducting robust investigations to continuously improve the integration of the ADK hardware and embedded software within our autonomous vehicle systems. The role’s primary focus will be leading a multidisciplinary engineering team and ensuring the reliability, performance, and functionality of our existing fleet and future programs. From troubleshooting issues to implementing updates, this work is crucial in maintaining operational efficiency and advancing system capabilities. The Senior Manager of ADKi Engineering will be an excellent collaborator that serves as the liaison between Quality, Operations, and Vehicle engineering teams.

Essential Responsibilities

• This is a player-coach role where the ADKi Manager will be responsible for both demonstrating and developing team competencies in the areas of:




• Expert level troubleshooting to triage field issues as a formalized process to rectify issues


• Structured approach to problem solving and analysis(Kepner-tragoe, 8d, 5 why, etc)


• Expert level data collection to analyze autonomous vehicle system issues to improve performance and reliability.


• Assisting and advising technicians (onsite and offsite) on proper troubleshooting and maintenance of our AV systems




• Effectively plan the vehicle integration team activities across the supported vehicle platforms and cascading lessons learned to support holistic continuous improvement


• Lead the acquisition and development of instrumentation to facilitate rapid analysis and triage of autonomous vehicle performance data. 


• Drive collaboration across a diverse engineering organization that includes field support, software, safety, autonomy, electrical, mechanical, and production engineers. 


• Work closely with the quality team to troubleshoot, triage, and resolve internal and supplier quality issues and maximize our fleet performance.

Skills and Abilities

Success in this role typically requires the following competencies:

• Demonstrated ability to increase team motivation and effectiveness through effective mentoring, challenging team assumptions, and status quo. 


• Effective verbal and written communication skills to convey ideas, instructions, and feedback clearly and efficiently. 


• Strong decision-making skills to analyze situations, evaluate options, and make timely and informed decisions.


• Aptitude for identifying problems, analyzing root causes, and implementing effective solutions across multi-disciplinary stakeholders.  


• Ability to plan strategically, anticipate future trends, and develop long-term roadmaps to drive organizational success. 


• Flexibility and willingness to adapt to changing circumstances, priorities, and environments. 


• Expertise with vehicle controls and ADAS embedded systems components. 


• Strong electronic hardware vehicle integration experience. 


• Experience with in-vehicle hardware validation/verification with systems such as lidar, radar, cameras, GPS, IMUs, etc. 


• Working knowledge of CAN, Ethernet, and Serial networks.

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Mechanical Engineering or related fields.  


• 10+ years of relevant work experience  


• At least 7 years of experience in leading an engineering team and delivering products on time 


• Experience with Robotics or ADAS integration.

Desirable

• Master’s degree in Computer Engineering, Electrical Engineering, Mechanical Engineering or similar field. 


• Experience working with by-wire systems and low-level actuation in vehicles. 


• Experience in hands-on automotive embedded development. 


• Experience with agile engineering development processes. 


• Strong proficiency in creating or modifying scripts to automatically analyze vehicle data using Python, or other similar programming languages.

Physical Requirements 

• Standard office working conditions which includes but is not limited to: 




• Prolonged sitting 


• Prolonged standing 


• Prolonged computer use




• Travel

Travel required? -  Moderate: 11%-25%