Application Engineer - Trucking
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-10-21
-
Engineering
Systems Engineer, Technical Support -
IT/Tech
Systems Engineer, Technical Support
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.
Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at
We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
This in-office expectation does not apply to contractor positions
We are looking for a technically strong, customer-facing, execution-driven engineer who is highly organized and thrives on bringing structure to complex, multi-stakeholder programs. In this role, you will help lead a strategic autonomy program with a major automotive OEM customer in Japan,from development through real-world on-road deployment. You will be a day-to-day point of contact for the customer and the technical bridge to Applied’s engineering teams.
You will build trusted relationships with customer engineers and leadership, keep a fast-moving program on track across many parallel work streams, and make sure commitments, risks, and decisions are clearly communicated on both sides. You will drive milestone delivery, build the customer’s in-house capability through a structured knowledge transfer program, and align internal teams across autonomy, systems, hardware, and operations. You will also support autonomy demonstrations for prospective customers and other OEMs, showcasing Applied’s on-road autonomy capabilities.
You will work at the intersection of software, vehicle integration, and customer operations, helping guide the program from development through real-world on-road deployment.
Drive delivery of quarterly program milestones for the customer in partnership with the program lead, from defining scope and acceptance criteria to tracking progress and reporting status to customer leadership
Plan and run regular onsite and remote meetings with the customer, including working sessions, technical reviews, and management- and steering-level program meetings
Lead the knowledge transfer program, designing training content and on-the-job learning paths and directly supporting customer engineers as they build hands-on capability with Applied’s autonomy stack and tools
Align internal engineering teams toward milestone delivery and drive resolution of cross-functional topics spanning autonomy software, systems engineering, hardware, integration, and operations
Serve as a trusted technical advisor, translating the customer’s high-level autonomy goals into clear technical requirements and actionable plans
Investigate on-road issues and technical questions, and communicate findings clearly to both engineering and non-technical customer stakeholders
Channel insights from hands-on deployment and demos back into Applied’s product…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).