Engineering Manager - Localization for Autonomy and Robotics

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that 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.

About the role

We seek a Software Engineering Manager to lead our localization team for autonomous vehicles and robotics. You will be a hands-on leader for a world-class group of engineers focused on building and deploying scalable positioning systems across diverse environments.  You will oversee the development of multi-sensor fusion algorithms including inertial odometry, map-based localization, calibration and online mapping.  You will closely collaborate with Perception, Planning, and Control teams to integrate localization outputs into the overall stack and ensure product quality across automotive, trucking, industrial robotics, and other verticals.

In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will be a key contributor for a new business that builds on and informs best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are a hands-on engineering leader looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!

At Applied Intuition, you will:

• Build localization solutions for multiple product verticals spanning L2 through L4 levels of autonomy, and a range of platforms from consumer automotive to trucking to mining.
• Guide the team in the design and implementation of a localization system capable of running on a variety of vehicles, providing localization in diverse  environments using multi-modal sensor data including cameras, lidar, IMU, wheel odometry, vehicle CAN signals and GNSS.
• Lead the design and implementation of robust, real‑time calibration pipelines in support of localization, both inertial and Earth centered.
• Oversee software stacks for both onboard real-time embedded, and offboard tooling and evaluation.
• Maintain a hands-on approach by participating in code reviews, architectural design, and debugging on embedded platforms.
• Metrics and evaluation: design and develop rigorous metrics to quantify performance of localization methods (e.g. accuracy and drift rates) for various driving domains, including urban streets, highways, and diverse environmental conditions.
• Ensure all software meets product-quality standards for reliable safety-critical solutions 
• Collaborate with Perception, Planning, and Control teams to integrate localization outputs into the overall AV stack.
• Work directly with OEMs and autonomy customers to understand their localization requirements, support vehicle programs, and translate feedback into technical solutions.

We’re looking for someone who has:

• 5+ years of experience building software for localization and/or calibration, with at least 2+ years in a formal leadership or management role.
• Technical depth in core localization concepts, state estimation, world representations and transforms, experience developing metrics to quantify localization performance, familiarity with specifications and characterization of IMU and other sensors.
• Product mindset and demonstrated ability to architect large-scale, production software for real-world robotic or automotive systems.
• Proven leadership experience managing engineering teams, setting goals, and overseeing technical projects.

Nice to have:

• Deep hands-on expertise in relevant algorithms or methods, such as probabilistic filtering, non-linear optimization, co