Home
The future of warehouse automation. Yondu is building an embodied AI platform that enables you to automate any logistics task in any warehouse with any off-the-shelf robot.
- Open roles
- 7
Job facts
- Location
- Gardena, CA, US / Los Angeles, CA, US
- Type
- full-time
- Salary
- $120K – $200K
Applications powered by
Y Combinator Work at a Startup
More roles at Home
- Social Media & Content Intern - Summer 2026 · Gardena, CA, US
- Fall 2026 Mechatronics Intern · Gardena, CA, US
- Fall 2026 Robotics Software Intern · Gardena, CA, US / Los Angeles, CA, US
- Founding Robotics Researcher · Gardena, CA, US / Los Angeles, CA, US
- Active Interest for Engineers · Gardena, CA, US / Los Angeles, CA, US
- Founding Business Development Representative, Robotics · Los Angeles, CA, US / Remote (US)
Senior Robotics Engineer
at Home
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.