Senior/Staff Software Engineer, Localization

Booster; Mountain View (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Booster is seeking a Senior/Staff Software Engineer in Mountain View, CA, to join their Localization team. The role focuses on developing advanced sensor fusion solutions for autonomous vehicles, requiring extensive experience in C++ and strong knowledge in SLAM and localization algorithms. The ideal candidate will have a M.S. or Ph.D., with 6+ years in the AV/ADAS sector. The position offers a salary range of $180,000 to $250,000, and requires onsite work five days a week.

Qualifications

• 6+ years industry experience writing C++ software in a production environment.
• 2+ years of experience in the AV/ADAS industries.
• Practical experience in processing large-scale real-world data sets.

Responsibilities

• Design, develop, and optimize sensor-based localization and odometry algorithms.
• Implement algorithms for sensor fusion with IMU, GPS, and Lidar.
• Conduct rigorous testing and validation in real-world scenarios.

Skills

C++

Python

Sensor fusion

SLAM

Kalman filtering

Robotics

Education

M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field

Tools

MATLAB

Simulink

ROS/ROS2

Job description

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 Mountain View, 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

We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.