Embedded Software Engineer III

We are seeking an experienced Embedded Software Engineer III to join a team developing advanced autonomous and semi-autonomous technologies. This position focuses on localization, positioning, navigation, and state estimation software used in next-generation robotic and autonomous systems.

The successful candidate will contribute to the design, development, testing, and deployment of production-quality software while collaborating with multidisciplinary engineering teams to bring innovative solutions from concept to implementation., * Design, develop, test, and maintain high-quality C++ software for localization and positioning systems.

• Develop algorithms utilizing sensor fusion, inertial measurements, GNSS, and perception-based inputs.
• Support software architecture, requirements development, validation, and verification activities.
• Troubleshoot complex software issues through debugging, profiling, and root cause analysis.
• Participate in all phases of the software development lifecycle, including design, coding, testing, and documentation.
• Collaborate with cross-functional engineering teams to move concepts from prototype to production.
• Research, evaluate, and implement advanced localization and navigation technologies.
• Support functional safety software development and validation efforts.

• Bachelor’s, Master’s, or PhD in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
• 5+ years of software engineering experience.
• Strong expertise in C++ development.
• Proficiency in Python.
• Experience with State Estimation methodologies.
• Knowledge of Inertial Measurement Technology (IMU/INS).
• Strong debugging, troubleshooting, and problem-solving skills.
• Experience working within the Software Development Life Cycle (SDLC).
• Excellent written and verbal communication skills.
• Ability to work onsite in Irving, TX., * Experience with Robotics, Autonomous Systems, or Automation technologies.
• Knowledge of Kalman Filters, Extended Kalman Filters (EKF), or Error State Filters.
• Experience with localization, navigation, and sensor fusion systems.
• SLAM (Simultaneous Localization and Mapping) experience.
• Experience with ROS (Robot Operating System).
• Knowledge of GNSS, inertial navigation, and graph optimization techniques.
• Strong mathematical foundation in linear algebra, 3D geometry, and statistical modeling.
• Understanding of vehicle dynamics and physics-based modeling.
• Ability to transform research concepts into production-ready software solutions., We are looking for a highly motivated engineer who enjoys solving complex technical challenges, collaborates effectively within a team environment, and takes ownership of delivering innovative software solutions. The ideal candidate thrives in a fast-paced engineering setting and is passionate about advancing autonomous and robotic technologies.