7 months ago
Mountain View, CA, USASenior / Staff+
H1B sponsor
Base Salary
$180k - $250k/yr
Responsibilities
- Design, develop, and optimize sensor-based localization and odometry algorithms for autonomous vehicles.
- Implement sensor-fusion algorithms using IMU, GPS, lidar, and other sensor data.
- Develop and integrate real-time SLAM for structured and unstructured environments.
- Integrate localization outputs with perception, mapping, and control teams and the broader autonomous-driving stack.
- Test and validate localization systems in simulation and real-world scenarios, including challenging urban and unstructured environments.
- Analyze and debug localization issues using field-test data and user feedback.
- Research lidar- and camera-based localization techniques and improve sensor-processing efficiency.
- Benchmark, tune, and continuously improve the localization stack to satisfy real-time constraints and increase robustness.
Requirements
- M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
- At least 6 years of industry experience writing production C++ software, including architecture design, unit testing, code review, and performance trade-offs.
- At least 2 years of experience in the autonomous vehicle or ADAS industries.
- Experience developing localization algorithms for autonomous vehicles or robotic systems, particularly GPS-IMU sensor fusion and SLAM.
- Proficiency in C++ and Python with hands-on ROS/ROS2 experience.
- Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and nonlinear optimization.
- Experience processing large-scale, real-world datasets and implementing mathematical principles in software.
- Expert-level knowledge of SLAM and GNSS/INS.
- Experience with sensor fusion and calibration involving IMU, GPS, and lidar data.
- Experience optimizing performance for real-time system requirements.
- Bonus: MATLAB/Simulink experience, proficiency in linear algebra, probability, and optimization, and experience optimizing and deploying real-time control systems.
Benefits
- Onsite five days per week at the Mountain View, California office.
- Opportunity to work on commercially deployed Level 4 autonomous vehicle technology.
- Inclusive and diverse work environment focused on collaboration, respect, and growth.
About Gatik AI
Gatik AI builds and operates autonomous middle‑mile trucking networks for retailers and consumer brands, delivered as a transportation‑as‑a‑service offering. Its Level 4, Class 3–7 trucks move B2B freight on short‑haul, repeatable routes, with commercial deployments in Texas, Arkansas, and Ontario, including a fully driverless service launched with Walmart in 2021. Founded in 2017 and headquartered in Santa Clara, it integrates software and hardware to run driverless deliveries between warehouses and stores.