Robotics Software Engineer, Nimble Brain

Nimble Robotics•San Francisco, CA

5d•$140,000 - $210,000

About The Position

Nimble is looking for a Robotics Software Engineer to build the core software powering their next-generation autonomous robots. In this role, you will develop the systems that allow 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 more robots are deployed into high-throughput warehouse operations. You’ll collaborate closely with 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.

Requirements

3+ years of software engineering experience building production systems.
Experience integrating with robotics, IoT, or embedded device SDKs.
Proven ability to design, implement, and maintain complex, high-reliability software systems.
Hands-on development experience in Rust.
Familiarity with software best practices including testing, documentation, code reviews, and robust architectural design.
Excellent communication, ownership, and cross-functional collaboration skills.

Nice To Haves

Bachelor’s degree or higher in Computer Science, Robotics, or a related engineering field.

Responsibilities

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 systems for robustness, low latency, and operational uptime.