Senior Autonomy Engineer

Responsibilities

• Lead the design and development of complex autonomy systems from conception to deployment.
• Develop online state estimation algorithms by fusing information from LIDAR, IMUs, and other sensors.
• Develop reliable sensor calibration procedures that consistently perform well in challenging and dynamic environments with unpredictable conditions.
• Conduct thorough testing, validation, and optimization of robotic systems to ensure performance and safety.
• Collaborate and contribute to hardware and software teams to integrate autonomy components seamlessly.
• Stay up-to-date with industry trends and state-of-the-art technologies in robotics, AI, and automation.
• Provide technical guidance and mentorship to other engineers on the team.
• Document engineering processes, specifications, and test results for future reference.
• Contribute to continuous improvement initiatives to enhance the efficiency and reliability of robotic systems.

Requirements

• Master's degree in Robotics, Electrical Engineering, Computer Science, Mechanical Engineering, or related fields.
• Proven experience in designing and developing robotic systems, either through academic projects, internships, or previous work experience.
• Proficiency in developing production-grade code using C++, Python, and ROS.
• Solid understanding of robotics principles, including dynamics, Bayesian state estimation, control systems, and sensor integration.
• Deep expertise in integrating and optimizing robotic sensors (IMU, LiDAR, GPS, etc.), actuators, embedded systems, and advanced hardware components.
• Strong analytical and problem-solving skills to address complex engineering challenges.
• Excellent communication and collaboration skills to work effectively within a multi-disciplinary team.

Minimum experience

• At least 2+ years of relevant industrial experience in robotics development or related fields.
• Experience working with sensors such as IMU, LIDAR, and GPS, having experience with visual odometry is a plus.
• Hands-on experience in localization algorithms - SLAM, for autonomous systems

Preferred experience

• MS or Ph.D. in Robotics, Electrical Engineering, Computer Science, Mechanical Engineering, or related fields.
• Proficiency in ROS for more than 3 years
• Knowledge of machine learning techniques and their applications in robotics.
• Experience with one or more Deep Learning libraries such as PyTorch, Tensorflow, or Keras
• Experience with building and deploying production code for Computer vision tasks
• Experience with computer-aided design programs

Benefits

• Competitive Salary
• Equity Compensation
• Full Health, Vision, and Dental Insurance
• Per Diem

Interested? Apply now!

Have questions about our hiring process? Email us at careers@joulea.com.

International applicants are welcome if they are currently eligible to work in the US, such as with OPT EAD, CPT, or in H-1B status.