Yondu is creating the robotic workforce of the future starting with logistics automation. We're deploying humanoid robots in the first flexible, drop-in picking automation solution designed for 3PLs. Our approach is building robot foundation models to enable off the shelf robots to do these tasks autonomously. To train these models, we're building our own teleoperation system in house. Finally, there's a whole stack of classical robotics and integration work to make our systems work in the real world . Learning constantly and keeping up with SOTA research is one of the pillars of our company's culture. The company was founded by MIT students and has raised seed funding after graduating from the YC W24 batch. Join us in shaping the way the world works.

We’re looking for an experienced roboticist to work with our team in maintaining, improving, and battle-readying our our end-to-end robotic workforce solution. You’ll possibly work or lead various different projects such as robot and teleoperation design, control systems, or fleet control and navigation optimization.

• Qualifications/Requirements
  • 5+ years software engineering experience, including 3+ in robotics, aerospace, or other physical domains.
  • Proven experience leading software teams and delivering production systems for real hardware.
  • Strong C++ and Python skills
  • Familiarity with Docker deployment
  • Experience with real-time or near-real-time control systems and hardware–software integration.
  • Strong understanding of modern software practices including: Git, code review, automated testing, CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Experience managing sensor data pipelines (stereo/RGB cameras, Lidar, IMUs, force/torque).
  • Experience with ROS/ROS 2
  • Linux
• Nice To Haves
  • Proficiency in profiling and optimizing C++/Python code for systems with limited compute and memory resources.
  • Experience with simulation environments (Gazebo, Isaac Sim, etc.).
  • Experience building low-latency networking and communication systems for teleoperation.
  • Background in computer vision, perception, ML-based detection/pose estimation, or SLAM.
  • Experience in startup or fast-paced R&D environments, including hiring and mentoring teams.
• Things that make you an ideal fit:
  • You are excited to remain hands-on in the code while unblocking your team and facilitating technical decisions rather than dictating them.

Our approach is building robot foundation models to enable off the shelf robots to do these tasks autonomously. To train these models, we're building our own teleoperation system in house. Finally, there's a whole stack of classical robotics and integration work to make our systems work in the real world . Learning constantly and keeping up with SOTA research is one of the pillars of our company's culture.