Robotics Software Engineer
Posted Updated
- Nimble is looking for a Robotics Software Engineer to build the core software powering our next-generation autonomous robots
- In this role, you will develop the systems that allow our robots to operate with exceptional reliability, precision, and efficiency in real production environments
- You will work across robot control, sensing, runtime execution, and backend services—building robust, production-grade software that scales as we deploy more robots into high-throughput warehouse operations
- You’ll collaborate closely with our AI, hardware, and infrastructure teams to integrate frontier AI capabilities into practical, real-world robotics systems and to continually improve robot uptime, performance, and overall intelligence
- This is a rare opportunity to help define the software foundation of industry-leading intelligent robots and contribute to the long-term vision of generalized robotic autonomy at scale
- Design and implement core robotic software for real-time control, manipulation, sensing pipelines, and high-reliability task execution
- Build tools and workflows for sensor data processing, visualization, validation, and debugging across development and production environments
- Create automated evaluation, and remote operations
- Work closely with AI research teams to integrate new frontier AI models into production robot behaviors, ensuring predictable and safe performance
- Collaborate with hardware engineering on seamless software–hardware integration for new robot platforms and upgrades
- Contribute hands-on to testing, profiling, and optimizing our systems for robustness, low latency, and operational uptime
- Bachelor’s degree or higher in Computer Science, Robotics, or a related engineering field
- Experience integrating with robotics, IoT, or embedded device SDKs
- Hands-on development experience in Rust
- 1+ years of software engineering experience building production systems
- Excellent communication, ownership, and cross-functional collaboration skills
- Familiarity with software best practices including testing, documentation, code reviews, and robust architectural design
- Proven ability to design, implement, and maintain complex, high-reliability software systems