As a Robotics Engineer at Cargo Robotics, you will develop the software powering the X1 autonomous package handling system. You’ll work across the full stack—from motion control and perception to hardware interfaces—shipping production code for a system with massive commercial demand. Join a world-class team of ten to transform global parcel delivery.
Robotics Engineer at Cargo Robotics
Join Cargo Robotics as a Robotics Engineer and become one of the first 10 employees at a startup transforming the logistics industry. You will work alongside an elite team from Tesla, NASA JPL, and Stanford AI Lab to ship production-ready physical AI using ROS2, C++, and Python. If you are passionate about solving hard robotics problems in the real world and building the infrastructure of the next 100 years, this is your chance to make a massive impact.
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Location
Menlo Park, United States
Compensation
Not Disclosed
Company
Cargo Robotics
Role overview
Cargo Robotics is building a robotic delivery platform that brings warehouse-style automation to delivery vans. Its first product automates parcel loading and retrieval, with the goal of saving delivery workers several hours per vehicle each day, increasing parcel capacity, reducing injuries, and improving delivery reliability. The company describes its broader vision as a fully autonomous delivery system.
What you will do
- Design and implement full-stack software for autonomous robotic manipulation using Python, C++, and ROS2, focusing on motion control and perception.
- Own software quality through rigorous testing, root-cause debugging, and performance validation on physical hardware during active pilot launches.
- Collaborate cross-functionally to identify and integrate cutting-edge advancements in robotics to improve the speed and reliability of package handling.
Who this is a fit for
- Demonstrated experience shipping production software on deployed robotic systems with strong proficiency in Python and C++.
- Hands-on expertise with ROS2 and a deep understanding of the software/hardware boundary, including fault detection and safety-critical behaviors.
- A bias for action and a gritty personality, comfortable iterating quickly in an early-stage environment on systems in active deployment.
Why this role is remarkable
- Join as one of the first 10 employees at a trailblazing startup with an elite team hailing from Tesla, NASA JPL, and the Stanford AI Lab.
- Work on a product with immediate market validation, including a Letter of Intent from a top-3 US parcel carrier for hundreds of units.
- Solve high-impact, physical AI problems that reduce carbon emissions and injuries while revolutionizing the global logistics and delivery infrastructure.
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