Junior Robotics AI Engineer
Position filledFrom day one you will write production-grade code, tune control algorithms, and see your ideas move real hardware.
Key Responsibilities
- Design, implement, and test robot control algorithms in Python and C++.
- Integrate perception, navigation, and manipulation modules using ROS 2.
- Collect and label sensor data (LiDAR, RGB-D, IMU) for machine-learning pipelines.
- Debug autonomy stacks with Gazebo, RViz, and hardware-in-the-loop simulations.
- Optimize runtime performance, memory usage, and power draw.
- Document APIs, architecture decisions, and experiment outcomes.
- Collaborate with mechanical, electrical, and product teams to ship reliable systems.
- Contribute to continuous integration and automated test suites.
What You’ll Bring
- Bachelor’s degree in Computer Science, Robotics, or a related engineering field.
- 0-2 years’ hands-on experience in robotics projects (academic or professional).
- Solid Python skills; familiarity with C++14 or newer.
- Working knowledge of ROS or ROS 2, URDF, and launch files.
- Introductory understanding of machine-learning concepts (CNNs, reinforcement learning, SLAM).
- Comfort with Linux, Git, and shell scripting.
- Analytical mindset, creative problem solving, and strong written communication.
- Curiosity to learn-fast.
Nice-to-Have Extras
- Coursework or projects in computer vision, control theory, or probabilistic robotics.
- Exposure to NVIDIA Jetson, Raspberry Pi, or microcontrollers.
- Experience with cloud robotics, AWS RoboMaker, or edge deployment.
- Participation in FIRST Robotics, RoboCup, or similar competitions.
Why You’ll Grow Here
– Real robots: watch code come alive in physical prototypes.
– Mentorship: senior AI scientists pair-program and review every pull request.
– Innovation time: reserve 10% of each sprint for self-directed experimentation.
– Mission variety: solve challenges across industries, preventing stagnation.
– Remote culture: distributed team rituals keep communication vibrant, wherever you live.