Senior Software Engineer, Localization

About the role

We are seeking a Senior/Staff Software Engineer to join our Localization team to build state-of-the-art sensor fusion solutions that combine data from a wide variety of sensors, as well as localization algorithms that integrate with maps in real time. We are looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. You will play a critical part in building robust, real-time localization solutions, leveraging real-time sensor measurements to achieve high accuracy in diverse and challenging environments.

This role is onsite 5 days at our Santa Clara, CA office!

What you'll do

• Design, develop, and optimize sensor-based localization and odometry algorithms to improve the positioning accuracy of autonomous vehicles.
• Implement algorithms for sensor fusion, utilizing data from IMU, GPS, Lidar, and other sensors to create a robust, reliable localization pipeline.
• Develop and integrate real-time SLAM techniques for both structured and unstructured environments.
• Collaborate closely with perception, mapping, and control teams to ensure the seamless integration of localization outputs within the autonomous driving stack.
• Conduct rigorous testing and validation in both simulation environments and real-world scenarios, focusing on challenging conditions like urban and unstructured environments.
• Analyze and debug complex issues in localization, implementing improvements based on both field test data and user feedback.
• Research state-of-the-art techniques in lidar and camera-based localization, keeping the localization stack up-to-date with advancements in sensor processing and computational efficiency.
• Contribute to performance benchmarking, tuning, and continuous improvement efforts to meet real-time constraints and increase system robustness.

What we're looking for

• M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
• 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.
• 2+ years of experience in the AV/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, with hands-on experience in ROS/ROS2.
• Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and non-linear optimization.
• Practical experience in processing large-scale and real-world data sets.
• Experience implementing mathematical principles effectively in software
• Expert-level knowledge of SLAM, GNSS/INS.
• Experience with sensor fusion and sensor calibration techniques, particularly integrating IMU, GPS, and Lidar data for enhanced localization accuracy.
• Experience with performance optimization and real-time system requirements

Bonus Qualifications

• Experience with MATLAB / Simulink.
• Proficiency in linear algebra, probability, and optimization techniques.
• Proven ability to optimize and deploy real-time control systems in fast-paced environments.

Salary Range- $180,000- $250,000

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile - with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors.

Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company information and Careers at Gatik for more open roles.

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