Robotics Planning & Controls Engineer | Real-World AI

Gritt

South San Francisco (CA)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Job summary

Gritt is seeking an experienced Planning & Controls Engineer to join our early team. You will shape AI capabilities for our robots, tackling challenging planning and control problems in dynamic outdoor environments.

As a pivotal member, you’ll develop and deploy robust planning methods, leverage GPU-accelerated trajectory generation, and collaborate with multiple teams to push our product forward in real-world deployments.

Qualifications

  • MS/Ph.D in robotics, vision, CS, ME, EE, or equivalent.
  • 4+ years of hands-on planning/control in robotics.
  • Experience with trajectory generation, optimization, sampling, cost/reward shaping and control.
  • Experience with robotics simulation infrastructure (Isaac Sim, Gazebo).
  • Proficient in C++ and comfortable with Python.
  • Authorized to work in the United States.

Responsibilities

  • Develop and deploy planning and control techniques for challenging manipulation and navigation problems.
  • Drive our technical approach, with 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.

Skills

C++
Python
Robotics
Planning & Controls
Trajectory Generation
Simulation

Education

MS/Ph.D in robotics or related

Tools

Isaac Sim
Gazebo

Job description

Gritt is seeking an experienced Planning & Controls Engineer to join our early team. You will shape AI capabilities for our robots, tackling challenging planning and control problems in dynamic outdoor environments.

As a pivotal member, you’ll develop and deploy robust planning methods, leverage GPU-accelerated trajectory generation, and collaborate with multiple teams to push our product forward in real-world deployments.

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