What are the responsibilities and job description for the Senior Mapping and Localization Engineer position at GPR?
COMPANY
GPR is radically accelerating the arrival of self-driving vehicles by tackling some of the most challenging problems that stand in the way of safe and reliable navigation.
Every road in the world has a unique subsurface signature. GPR uses radar to create a map of those subsurface signatures from which self-driving cars can navigate. Vehicles using GPR are unaffected by common but challenging road conditions like snow, heavy rain, fog, or poor lane markings.
GPR is working with leading autonomous vehicle and traditional automotive companies, is backed by leading investors, is growing quickly, and is building a talented team that wants to transform the future of mobility and work on some of the hardest and most important engineering problems around. If that sounds like you, please drop us a line.
ROLE
As the Senior Mapping and Localization Engineer, you will contribute to GPR's efforts around key algorithmic and engineering decisions for our radar-based map and sensor fusion-based localization algorithms. Your work will involve developing and innovating in the field of Radar-based Localization.
WHO YOU ARE WHAT YOU'LL DO
- Develop and refine radar and multi-sensor-based mapping and localization algorithms for autonomous vehicle and mobile robotic applications.
- Understand key technical and performance trade-offs for Radar-based Localization.
- Contribute to building the Software stack to run our autonomous vehicle.
- Support our current Autonomous Vehicle stack, and the interface with our localization.
- You’re comfortable thinking about the big picture and the small details. You enjoy making design and algorithmic decisions.
- Rapidly prototype to test and discard hypotheses.
- A “get-it-done” person. You know that done is better than perfect and are energized by constantly delivering and moving things forward.
- Enjoy working with small, high output teams in a fast-paced startup environment.
- Open-minded and collaborative team player with willingness to help others.
REQUIREMENTS
Experience designing and developing, localization and mapping algorithms(SLAM, Visual Odometry, Global Retrieval, Feature Matching, etc).
Experience working with multiple sensor modalities like Radar, camera, lidar, IMU etc.
Mathematical fundamentals in Linear Algebra, Vector calculus, Probabilistic theory, and Mathematical Optimization along with relevant implementation experience.
Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization or similar robotics fields.
3 years or more experience working in applied Localization for Robotics/AV.
Excellent C skills and experience with production software.
This a hybrid role and the candidate is expected to be on-site 3-4 days a week.
NICE TO HAVE
PhD or Masters in an autonomous vehicle mapping, localization, or sensor fusion related field or equivalent experience and knowledge.
Experience with Real-Time application in resource constrained computing environments
Experience working with radar data
Expertise in Optimization Frameworks (g2o, CERES, iSAM,etc)
Experience with ROS1/ROS2 or AV stacks (Autoware, Apollo, etc)
WORK
- Must be currently eligible to work in the US. Please indicate if you need or will eventually need sponsorship on your application.
