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# Robotics Software - Architecture

- **Company:** GRITT LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Python (Programming Language), Software Tools, Robot Operating System, Information Technology, Lidar
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/robotics-software-engineer-gritt-robotics-inc-8129740

## About the Role

* Degree in computer science, robotics, vision, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).

 * 4+ years of hands-on experience deploying high-performance software in production for robotics applications.
 * Experience working with autonomy functions including perception, planning, control, simulation.
 * Experience with robotics frameworks like ROS2.
 * Experience working with robotics visualization infrastructure (e.g. Isaac Sim, Gazebo).
 * Proficient with C++ and comfortable with Python/Rust.

 * Should be comfortable taking ownership of tasks with light supervision.

 * Must have excellent problem-solving skills.

 * Legally authorized to work in the United States.

## Description

We're looking for an experienced Robotics Software Engineer to join our team. As an early member, you will play a pivotal role in architecting scalable software for our robots. You will work on building robust and efficient frameworks to support real-time robotics applications. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying high-performance software in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.

What you'll get to work on

 * Develop and deploy robust architectures and frameworks for robotics.

 * Help drive our technical approach, with particular focus on real-world deployments.
 * Drive system performance and efficiency by optimizing software and communication.
 * Optimize the integration of multiple sensing modalities (e.g. cameras, LIDAR, tactile).
 * Develop scalable techniques for managing large amounts of data in real-time.
 * Incorporate offline and online tools for profiling, memory-management and visualization.
 * Contribute across the autonomy stack.
 * Collaborate with other teams in the company.


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