AI robotics engineer

At Cargo, we’re backed by some of the best robotics investors in the Valley to transform a massive legacy industry and we’re more than doubling our engineering team to satisfy overwhelming customer demand.

If you’re an exceptional robotics engineer with a passion for bringing robots to production, we want to talk to you.

Cargo Robotics is creating the logistics infrastructure of the next 100 years by automating the entire delivery chain with containerized physical AI, starting at the delivery van.

After taking jobs at UPS and Fed Ex, our founders realized that a new approach was needed. Delivery volumes have exploded 5x in the past decade, and the people and processes of parcel logistics are breaking under the load of trying to deliver this volume with a 1950’s network model. Today’s logistics has rampant injuries and attrition, nonstop errors and delays, and delivery drivers spending more time sorting packages than delivering.

Our first product is the X1 Robotic Cargo Bay which reimagines the guts of every delivery van you see on the road, and saves hours of labor per day for each vehicle. This is the first step in fully automating the delivery chain with radically more efficient networks that reduce carbon emissions and congestion to enable a more prosperous and healthy future.

We’re looking for an unstoppable and versatile robotics engineer to ship new key features as we launch pilots for X1. You’ll rapidly iterate alongside our incredible founding team (alumni of Stanford, Georgia Tech, Caltech, Tesla, NASA JPL, Lockheed, Saildrone, Machina Labs, Roam Robotics and Stanford AI lab) and enable us to rapidly scale up and satisfy overwhelming demand from international carriers.

We’re a user and product-centric company, so expect to deliver some actual parcels in your first week at work!

Get ready, there’s lots to build :)

• Develop and integrate AI solutions to improve the capabilities and robustness of our package handling robotic system.
• Deploy ML algorithms, sensor fusion systems, and real-time processing pipelines on Nvidia Jetson platforms.
• Identify opportunities to apply cutting‑edge advancements in robotics and integrate them to improve our robotic system.
• Collaborate with a cross‑functional team of software, electrical, and mechanical engineers to build software for an autonomous robotic package handling system.
• Write clean, efficient, well‑documented code in Python, with a strong emphasis on maintainability and performance.
• Own software quality through rigorous testing, root‑cause debugging, and performance validation on live hardware.
• Identify and drive improvements to the software stack, tooling, and CI/CD pipelines to accelerate team velocity.
• Leverage AI‑assisted development tools such as LLM coding assistants and agents to accelerate implementation.
• Communicate technical progress clearly through code reviews, design discussions, and project updates.

• Biased toward action: take initiative and get stuff done
• Driven and gritty: can take punches and keep on going
• A quick study: learn fast and teach those around you
• Calm in chaos: keep your composure and work through the hurricane
• Self‑aware and low ego: take and give feedback with grace

• Bachelor's or higher in Computer Science, Software Engineering, Robotics, or a closely related field.
• Strong programming skills in Python and/or C++.
• Hands‑on experience with ROS2 for robotics software development.
• Excellent problem‑solving ability; comfortable working both independently and in collaborative, fast‑moving teams.
• Genuine passion for hard robotics problems and shipping systems that work in the real world.
• Comfort operating in an early‑stage environment - moving fast, wearing multiple hats, and iterating quickly on systems that are in active deployment.

• Experience fine‑tuning Vision‑Language Models (VLMs) or Vision‑Language‑Action models (VLAs) for robotics applications.
• Experience training, evaluating and integrating learned policies into workflows involving vacuum based manipulators.
• Experience with perception and scene understanding for grasping in…