The role at Arriver Software, LLC involves working on Localization Algorithms to accurately localize vehicles on various map types. The engineer will design and implement advanced state estimation algorithms and apply expertise in Kalman Filters, Particle Filters, and SLAM theory. Proficiency in modern C++ and Python, as well as knowledge of various sensors and computer vision technology, is essential. The position also requires contributing to software testing and debugging to ensure robust production-grade software.

• Master's Degree in Electrical Engineering, Computer Engineering, Computer Science or a related field.
• Six months of experience in a related occupation.
• Expertise in Kalman Filters, including EKF & UKF, Particle Filters, and SLAM theory.
• Proficiency in modern C++ and Python.
• Familiarity with various sensors including cameras, Radars, IMU, GNSS, and Lidar.

• Independently plan and perform responsibilities related to Localization Algorithms.
• Design and implement state-of-the-art state estimation algorithms.
• Contribute to software and vehicle testing to confirm software and system requirements.
• Utilize debugging tools to root-cause issues reported by application teams and customers.
• Act as a strong contributor in design reviews and project meetings.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.