Job Description
The role involves designing and implementing high-performance localization algorithms for autonomous vehicles using Lidar-based odometry and pose graph optimization, contributing to the development of robust, real-time navigation systems in a collaborative, fast-paced environment.
Key Responsibilities
- Design and develop high-performance localization modules using Lidar-based odometry and pose graph optimization techniques
- Architect robust and scalable systems for real-time state estimation on autonomous platforms
- Contribute to the full software lifecycle including design, implementation, testing, deployment, and maintenance
- Collaborate with mapping, perception, and control teams to integrate localization into the autonomy stack
- Drive algorithmic innovation in SLAM, loop closure detection, outlier rejection, and sensor fusion
- Optimize code for efficiency, robustness, and real-time performance on embedded and edge systems
- Provide technical leadership, mentorship, and conduct code reviews to improve engineering quality
- Stay current with research in localization and SLAM, evaluating new techniques for application
Requirements
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- 6 years of total experience and 3 years of hands-on experience working with Lidar Odometry and Pose Graph Optimization in real-world applications.
- Expert proficiency in modern C (C++14, C++17, C++20) and strong software engineering fundamentals including design patterns, concurrency, and memory management.
- Strong understanding of SLAM, factor graphs, and optimization frameworks such as g2o, Ceres, or GTSAM.
- Experience with 3D point cloud processing, ICP, scan matching, and Lidar SLAM pipelines.
- Familiarity with ROS, ROS2, and real-time robotics software development.
- Ability to design and develop high-performance localization modules using Lidar-based odometry and pose graph optimization techniques.
- Ability to architect robust and scalable systems for real-time state estimation on autonomous platforms.
- Experience contributing to the full software lifecycle including design, implementation, testing, deployment, and maintenance.
- Ability to collaborate closely with mapping, perception, and control teams to integrate localization into the broader autonomy stack.
- Experience driving algorithmic innovation in SLAM, loop closure detection, outlier rejection, and sensor fusion.
- Ability to optimize code for efficiency, robustness, and real-time performance on embedded and edge compute systems.
- Proven ability to provide technical leadership, mentorship, and conduct code reviews to improve engineering quality.
Benefits & Perks
Salary range of 200,000-260,000 USD
Onsite work schedule, 5 days per week
Collaborative and inclusive work environment emphasizing respect, agility, and diversity
Opportunities for technical leadership, mentorship, and professional growth
Work in a cutting-edge autonomous vehicle technology company focused on innovation and safety
Ready to Apply?
Join Gatik and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More at Gatik
More jobs at Gatik
Senior Staff Software Engineer Localization Visual Odometry
Gatik
Mountain View
Full Time
Dec 25
$170k-260k
Senior Staff Software Engineer, Localization
Gatik
Mountain View
Full Time
Dec 29
$180k-250k
Operations G A Recruiter Contract to Hire
Gatik
Mountain View
Full Time
Jan 2
More jobs in Mountain View, California
Senior Software Engineer, Machine Learning, Calibration
Nuro
Mountain View
Full Time
Dec 17
$194k-291k
Staff Software Engineer - Data Curation
Aurora
Mountain View
Full Time
Nov 25
$189k-303k
Senior Staff Software Engineer, Behavior Verification
Nuro
Mountain View
Full Time
Dec 22
$176k-320k