This is a hands-on role with end-to-end ownership from algorithm design to deployment on real hardware.

Key Responsibilities:

• Design and implement real-time target tracking pipelines using camera-based detections.
• Convert camera frame coordinates to robot/world coordinates using calibration and geometric transformations.
• Develop and maintain inverse kinematics and motion control algorithms for gimbals and manipulators.
• Track and actuate on targets in real time while accounting for vibration, latency, sensor noise, and motion blur.
• Develop and support perception-adjacent systems including: Visual-Inertial Odometry (VIO), IMU and wheel odometry fusion, Pose estimation and sensor synchronization
• Configure and maintain multi-camera systems including placement, calibration, timing, and exposure.
• Support multi-gimbal or multi-module tracking and manipulation setups.
• Integrate and debug systems using ROS / ROS2, RViz, and Gazebo.
• Collaborate closely with embedded, controls, mechanical, and perception teams.
• Test, tune, and validate systems on real machines in field conditions.
• Document system architecture, algorithms, and integration procedures.

Required Qualifications:

• Strong fundamentals in robotics kinematics, dynamics, and coordinate transformations.
• Hands-on experience with inverse kinematics and motion control for robotic systems.
• Solid understanding of perception systems including VIO, IMU integration, and wheel odometry.
• Experience working with ROS or ROS2 in real hardware environments.
• Proficiency in C++ and/or Python.
• Experience deploying robotics systems from simulation to hardware to field testing.
• Experience with Gazebo, MoveIt, SLAM, or motion planning frameworks.
• Ability to work with noisy sensors and real-world constraints.

Preferred Qualifications:

• Experience with gimbal systems, robotic manipulators, or precision actuation.
• Familiarity with camera systems, industrial cameras, lenses, lighting, and synchronization.
• Understanding of control systems such as PID and MPC.
• Familiarity with edge computing platforms for robotics and vision workloads.

Benefits:

• Small, fast-moving team with high ownership and responsibility.

• Growth opportunities as the product and team scale.

• Work alongside our in-house Golden Retriever, Denver — Chief Happiness Officer (CHO)

  , who ensures morale, focus breaks, and unconditional support during long build days.