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Robotics Software - Planning & Controls Engineer

Gritt RoboticsBelmont, California

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Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Remote
On-site

Job Description

Gritt is developing physical AI to automate the construction of large-scale infrastructure around the globe. Gritt’s systems are already deployed commercially in difficult outdoor environments, and are helping to build critical energy infrastructure. The founding team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT. Gritt is a Series A company backed by marquee VCs.

Role: Robotics Software - Planning & Controls

Location: SF Bay Area (in-person)

About the role

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.

What we look for

  • 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.

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FAQs About Robotics Software - Planning & Controls Engineer Jobs at Gritt Robotics

What is the work location for this position at Gritt Robotics?
This job at Gritt Robotics is located in Belmont, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Gritt Robotics?
Employer has not shared pay details for this role.
What employment applies to this position at Gritt Robotics?
Gritt Robotics lists this role as a Full-time position.
What experience level is required for this role at Gritt Robotics?
Gritt Robotics is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What is the process to apply for this position at Gritt Robotics?
You can apply for this role at Gritt Robotics either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.