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# Robotics Software - Planning & Controls Engineer

- **Company:** Gritt Robotics Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Python (Programming Language), Graphics Processing Unit (GPU), Mobile Robots, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/robotics-software-planning-controls-engineer-gritt-robotics-inc-8129744

## About the Role

* M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).

 * 4+ years of hands-on experience developing planning/control solutions for robotics applications like manipulation and navigation.
 * Experience working on one or more of trajectory generation, optimization, sampling, cost/reward shaping and control.
 * Experience working with robotics simulation infrastructure (e.g. Isaac Sim, Gazebo).
 * Proficient with C++ and comfortable with Python.

 * 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 Planning & Controls Engineer to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging planning/control problems around manipulation and navigation in dynamic outdoor environments. 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 planning/control systems 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 state-of-the-art planning and control techniques for challenging manipulation and navigation problems.

 * Help drive our technical approach, with particular focus on real-world deployments.
 * Research and develop techniques around generating real-time, safe, efficient trajectories for multiple embodiments like robot manipulators and mobile robots.
 * Develop scalable planning representations for classical and learned techniques.
 * Leverage GPUs to generate and evaluate trajectories at scale.
 * Enable real-time, closed-loop control leveraging classical algorithms and ML.
 * Develop simulation techniques and metrics to benchmark and evaluate performance.
 * Collaborate with other teams in the company.


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