Drimva

PlusAI

Staff/ Sr. Staff Engineer, Mapping and Localization

$200K–$260K

Santa Clara, CA · Hybrid · Senior Staff · Full-time · Posted Aug 6, 2026

Experience
7+ years in robotics, with at least 4 years in production-level localization or mapping systems.
Education
M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.

About the job

Design and lead mapping and localization systems that fuse sensor data with HD maps to support safe, accurate autonomous truck operation.

What you'll do

  • Lead localization architecture, technical roadmaps, and build-versus-buy decisions; mentor engineers and conduct code reviews.
  • Develop real-time sensor-fusion, odometry, global-localization, and HD-map generation and maintenance systems.
  • Improve localization in challenging environments, detect map changes using fleet data, and optimize code for embedded compute constraints.

What they ask for

  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 7+ years of industry experience in robotics, including at least 4 years dedicated to production-level localization or mapping systems.
  • Expert-level Modern C++ (14/17/20) and strong foundations in probabilistic robotics, nonlinear optimization, and SLAM.
  • Deep understanding of 3D geometry, linear algebra, and coordinate transformations; familiarity with Eigen, Ceres, PCL, OpenCV, and GTSAM.

Nice to have

  • Experience shipping localization stacks for deployed autonomous vehicles or mobile robots; hands-on experience with LOAM, lego-LOAM, ORB-SLAM, or VINS.
  • CUDA/GPU programming or optimization for ARM-based embedded platforms.

Pay

USD 200,000–260,000 (per-year-salary) — base salary

Tools

Modern C++ (14/17/20), Ceres, g2o, GTSAM, Eigen, PCL, OpenCV, CUDA/GPU

AI focus

Develop sensor-fusion and localization algorithms for autonomous trucks, including HD-map matching and fleet-data-based map change detection.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)