Software Engineer Intern - Robotics Platform
Gravis Robotics
Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots.
Gravis began as an ETH Zurich spin-out, and our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment. Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry. The Gravis RACK is a machine-agnostic retrofit kit that adds autonomy to excavators and wheel loaders from 10 to 100+ tonnes: LiDAR and camera sensing, GNSS RTK, networking hardware and rugged edge compute that works offline. Paired with the Slate tablet and our Copilot software, it lets an operator run a machine manually, with AI assistance, or fully autonomously. About the role At Gravis, we build high tech systems that give machine operators superhuman capabilities. To adapt in real time to changes in the environment the Gravis Rack fuses data from LiDAR, cameras, GNSS, and hydraulics into an autonomous control system. The robotics platform team builds the software foundation for our robots to enable non stop operation in the harshest environments. We ensure all algorithms execute correctly, based on a rock solid communication layer and world class introspection capabilities. We provide all the tools to deploy, develop and debug the most powerful robots on earth. As a robotics platform software engineer intern, you will help build our vision of a scalable, safe and high performing robotics platform. You will gather requirements from internal customers, work on communication layer, node orchestration and lifecycle management as well as APIs to off-machine systems. What you'll do- Design, build and maintain parts of the robotics platform, e.g. APIs, health monitoring and machine configuration management
- Contributing to high quality code, improving robustness and maintainability of existing code
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- Hands-on experience in Software Engineering
- Solid Software Engineering skills
- Programming skills in a systems language like C++ or Rust, Python is nice to have
- Experience in computer networking
- Experience in information security
- Experience working with embedded systems
- Experience working on production grade software system
- Open source contributions
Die Stellenanzeige wurde vor Vor 23 Stunden veröffentlicht
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