OEM Platform Integration Engineer

Keystone AI is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Keystone AI has focused on building the Keystone AI Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Keystone AI Driver powers Keystone AI’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Keystone AI Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Keystone AI's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and reports to a Manager of Systems Architecture Integration & Diagnostics. You will: Lead investigation and troubleshooting of software and electrical integration issues between Keystone AI and OEM systems Collaborate with system owners and subject matter experts both within Keystone AI and at OEMs to scope integration derisking, troubleshoot integration issues, and coordinate change deployment Contribute to evolving Keystone AI’s platform integration strategy, processes, and tools Provide expert onsite hands-on support at manufacturing, field service, and test facilities for early program activities You have: A Bachelors or Masters in EE/ME/CE/CSE or related field 5+ years of experience with prototype software and electrical automotive systems Hands-on troubleshooting experience with software and electrical automotive systems and tools Wide breadth of knowledge in the EE/CS/Mech realm, and can spin up on a new topic very quickly We prefer: Demonstrated experience taking new automotive platforms from prototype through series production Working knowledge of an object-oriented scripting-oriented programming language (ex: Python) Familiar with modern passenger vehicle control systems Ability to interact with both technical and nontechnical teams to solve technical problems The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Keystone AI employees are also eligible to participate in Keystone AI’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $158,000 — $200,000 USD