Job Description

Senior Robotics Engineer – Subsea Autonomy & Controls

Location: Austin, TX

Clearance Requirement: U.S. Citizenship Required

About the Role:

We are seeking a highly experienced Senior Robotics Control Systems Engineer to join our cutting-edge subsea autonomy team. You will play a critical role in designing, developing, and deploying advanced control systems for autonomous underwater vehicles (AUVs) and other marine robotic platforms. This role offers a unique opportunity to work on the forefront of robotics innovation in dynamic, real-world environments.

Key Responsibilities:

• Design, implement, and test advanced control algorithms (PID, LQR, MPC, adaptive and nonlinear control) for underwater robotic systems.
• Develop real-time software solutions using C++ and Python within middleware frameworks such as ROS, ROS 2, DDS, and RTOS.
• Build and maintain dynamic models, estimators, and motion planning tools to enable precise navigation and maneuvering.
• Integrate and test software on embedded platforms (ARM, DSP, FPGA) and real-time operating systems.
• Create and refine simulations using tools such as Gazebo, Mujoco, or custom simulators to validate system performance.
• Collaborate across hardware, software, and systems engineering teams to deliver reliable autonomous functionality.
• Apply multithreaded programming and inter-process communication strategies to support scalable, distributed architectures.
• Use modern development tools (Git, CI/CD, Docker) and industry best practices to maintain high-quality, maintainable codebases.

Minimum Qualifications:

• M.S. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
• 10+ years of experience in robotics software development and control systems.
• Hands-on experience with subsea robotics, AUVs, or marine autonomy systems.
• Expertise in classical and modern control methods.
• Strong programming capabilities in C++ and Python.
• Proficiency in motion planning, state estimation, and physical modeling for robotics.
• Demonstrated experience with simulation tools and real-time deployment.
• Familiarity with multithreading, IPC, and embedded systems integration.
• U.S. Citizenship is required.

Preferred Qualifications:

• Experience with underwater communication systems (acoustic, RF, optical).
• Background in sensor fusion using IMU, LiDAR, sonar, GPS, and visual sensors.
• Expertise in optimal estimation techniques such as EKF, UKF, and particle filters.
• Exposure to machine learning approaches for control (e.g., reinforcement learning, neural/adaptive control).

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