Software Engineer - Mapping and Localization

Applied Intuition•Sunnyvale, CA

3d•Onsite

About The Position

Applied Intuition is seeking a software engineer passionate about mapping and localization for autonomous vehicles or mobile robots. This role involves building a best-in-class, highly reliable system for autonomous and advanced driver-assistance use cases. The engineer will be a key contributor to a new business within the nascent autonomy industry, working in a dynamic and customer-focused team. The company emphasizes speed and excellence, offering a place for hands-on individuals to significantly impact the realization of autonomous systems. The company is hiring for all levels and operates as an in-office company, with employees expected to work from their office 5 days a week, while also allowing for flexibility and responsible schedule management.

Requirements

BS in Computer Science, Robotics, Applied Mathematics, or related engineering field.
3+ years of experience building software components or (sub)systems that address real-world mapping and localization challenges.
Deep understanding of core localization concepts, world representations and transforms, the intersection of mapping and localization, and error analysis and characterization.
Knowledge of how to analyze and compare the performance of various hardware solutions for localization.
C++ programming expertise.

Nice To Haves

MS/PhD with a focus on localization, mapping, or a closely related field.
Deep hands-on expertise in relevant algorithms or methods, such as SLAM, state estimation, non-linear optimization, Computer Vision, 3D geometry, numerical analysis, or distributed systems.
Deep understanding of sensors used for localization, state-of-the-art industry solutions, and common approaches for production systems.
Experience with large-scale data processing using frameworks.

Responsibilities

Design and implement a state-of-the-art mapping and localization system capable of running on a variety of vehicle platforms, providing lifelong mapping and localization in dynamic environments.
Build a scalable system that can construct local or global maps and fuse live data with maps.
Build real-time onboard localization with high integrity, as well as offboard localization methods.
Utilize available resources and sensors, including inertial sensors, vehicle signals, GNSS, cameras, lidars, and radars, for mapping and localization.
Continuously improve system performance using large-scale, data-driven methods rooted in first principles.