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Senior Staff Software Engineer, Localization

Gatik
Mountain View, California
Full Time
Posted August 19, 2025
$180k - $250k
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Job Description

The Senior Staff Software Engineer will develop and optimize real-time sensor fusion and localization algorithms for autonomous vehicles, ensuring precise positioning in diverse environments as part of Gatik's autonomous middle-mile logistics fleet.

Key Responsibilities

  • Design, develop, and optimize sensor-based localization and odometry algorithms to improve autonomous vehicle positioning accuracy.
  • Implement sensor fusion algorithms utilizing IMU, GPS, Lidar, and other sensors for robust localization.
  • Develop and integrate real-time SLAM techniques for structured and unstructured environments.
  • Collaborate with perception, mapping, and control teams to integrate localization outputs into the autonomous driving stack.
  • Conduct testing and validation of localization systems in simulation and real-world scenarios, including challenging environments.
  • Analyze and debug localization issues, implementing improvements based on test data and feedback.
  • Research and incorporate state-of-the-art localization techniques, ensuring system performance and robustness.

Requirements

  • A Master of Science (M.S.) or Doctor of Philosophy (Ph.D.) degree in Robotics, Computer Science, Electrical Engineering, or a related field.
  • At least 6 years of industry experience writing C software in a production environment, including architecture design, unit testing, code review, and algorithm performance trade-offs.
  • A minimum of 2 years of experience in the autonomous vehicle (AV) or Advanced Driver Assistance Systems (ADAS) industries.
  • Experience in developing localization algorithms for autonomous vehicles or robotic systems, with a strong focus on GPS-IMU sensor fusion and SLAM.
  • Proficiency in C and Python programming languages, with hands-on experience using ROS and ROS2.
  • Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and non-linear optimization techniques.
  • Practical experience in processing large-scale and real-world data sets.
  • Experience implementing mathematical principles effectively in software development.
  • Expert-level knowledge of SLAM, GNSS INS, sensor fusion, and sensor calibration techniques, particularly integrating IMU, GPS, and Lidar data for enhanced localization accuracy.
  • Experience with performance optimization and meeting real-time system requirements.

Benefits & Perks

Salary range of $180,000 to $250,000
Onsite work schedule (5 days a week at Mountain View, CA office)

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