WHAT YOU'LL DO

• Develop and refine radar and multi-sensor-based mapping and localization algorithms for autonomous vehicle and mobile robotic application
• Understand key technical and performance trade-offs for Radar-based Localization
• Develop algorithms for efficient, large scale map generation of subsurface data
• Develop algorithms to efficiently fuse subsurface radar data to create uniform subsurface maps
• Develop radar-based signal processing techniques in conjunction with mapping algorithms to generate unique subsurface volumes for localization
• Develop and translate product requirements into technical specifications, design elements, and actionable engineering tasks for Software, Mapping, and Localization in GPR’s positioning system
• Develop innovative image processing algorithms for robust localization in all environments
• Deploy advanced algorithms and machine learning on crowdsourced data to efficiently map large regions of the US and Europe
• Innovate novel solutions to base technology and customer application challenges to advance the GPR product performance
• Generate and file IP to support the GPR technical “moat”

WHO YOU ARE

• You’re an algorithm developer, software developer, and a team player all in one
• You’re comfortable thinking about the big picture and the small details. You enjoy making design and architecture decisions
• Rapidly innovate to test and discard hypotheses
• Low ego: you take your work seriously but can laugh at yourself
• Enjoy working with small, high output teams in a fast-paced startup environment
• A “get-it-done” person. You know that done is better than perfect and are energized by constantly delivering and moving things forward

REQUIREMENTS

• Must be currently eligible to work in Massachusetts.
• 3 years or more experience in programming for professional use
• Bachelor's in computer science, electrical engineering, Robotics or related field / equivalent knowledge and experience
• Experience with software stacks related to product architectures in the area of robotics.
• Experience building real-time localization or perception pipelines using probabilistic models including Extended Kalman Filters, Particle filters, factor graphs etc.
• Experience implementing multi-sensor fusion for localization and mapping, combining inputs from sensors like lidar, camera, radar, IMUs, GNSS and other related sensors.
• Expert at modern C++, Python and other related tools
• Strong Linux background with familiarity in timing-sensitive algorithm development and implementation
• Strong understanding of performance related design tradeoffs
• Experience developing unit, HIL, SIL, and regression testing
• Significant exposure to real-time or time critical software requirements (including mutex, and memory mapping)

NICE TO HAVE

• Professional experience developing Automotive Embedded systems.
• Master’s degree in computer science related field or equivalent knowledge and experience.
• Experience with ROS2 or related DDS-based middleware environments.
• Experience with automotive communication protocols (CAN, CAN-FD, FlexRay).
• Understanding of radar principles, signal processing or information theory.
• Experience applying machine learning and AI techniques for perception, signal processing and sensor fusion tasks.
• Fluent in GPU-based algorithm development.

Please indicate if you need or will eventually need sponsorship on your application.