Engineering Manager - Localization for Autonomy and Robotics

Applied Intuition•Sunnyvale, CA

2d•Onsite

About The Position

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!

Requirements

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 Haves

Deep hands-on expertise in relevant algorithms or methods, such as probabilistic filtering, non-linear optimization, computational geometry.
Experience with embedded systems, with a proven track record of deploying algorithms on resource-constrained embedded hardware.
Deep understanding of sensors used for localization, state of the art industry solutions, and common approaches for production systems.
Experience delivering production-grade software that met ISO 26262 or similar safety standards.

Responsibilities

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.