Controls Research Engineer: Robot Manipulation

Columbus, OH

Full Time Senior-level / Expert
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Path Robotics

Path Robotics develops a fully automated and intelligent welding robot that sees the environment, understands what needs to be welded, and programs itself to move and weld.

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Build the Path Forward

At Path Robotics, we are building the next generation of intelligent robots. We’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people does the impossible every single day, yet remains incredibly kind, humble, and always ready to support one another. 

We are looking for an experienced Controls Research Engineer: Robot Manipulation to develop and advance our ambidextrous robot manipulation stack. You will join a team of dedicated, supportive, and enthusiastic people to help create the future of manufacturing. Come solve the hardest problems with the best team on the planet!

What You’ll Do

  • Develop and advance motion planning and controls algorithms for our ambidextrous robots
  • Develop and advance multi-view geometric and deep learning computer vision algorithms for robotic applications
  • Integrate and test with simulated and real industrial robot systems
  • Contribute to the robustness and stability of our robotic system by verifying and validating pipelines through hardware-in-the-loop testing  
  • Integrate and prototype motion planning algorithms for crowded scenes 
  • Integrate force control sensors
  • Implement sensor fusion methods with various sensors such as cameras
  • Perform various forms of calibration including robot and sensor calibration 
  • Design robust and reliable systems to handle variable circumstances

Who You Are

  • BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering or related field
  • Build, Ship, and Iterate products fast and efficiently
  • 2+ years of research and Industry experience in robotics and computer vision
  • 2+ years of experience using multi-threaded programming skills (C++, Python)
  • You have worked with Linux environment
  • Expert in robotic path planning and trajectory smoothing
  • Expert in force feedback control
  • Experience with ROS
  • Extensive experience with sensor data processing and large-scale point-cloud processing
  • Experience with OpenCV, Open3D, and PCL libraries
  • Able to work as a team player and as an individual contributor
  • Highly motivated, innovative, and enthusiastic
  • Ability to meet deadlines and commitments in a fast-paced environment, strong attention to details

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

*To continue to keep our team safe as we navigate the pandemic, we are requiring all in office staff to submit and validate their vaccination status.

Why You'll Love It Here

  • Free lunch every day
  • Flexible PTO
  • Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents (nothing comes out of your paycheck!)
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the
    birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus

Job Type: Full-time

 

Tags: Computer Vision Deep Learning Engineering Industrial Linux OpenCV PhD Python Research Robotics Testing

Perks/benefits: Flex vacation Health care Insurance Medical leave Parental leave

Region: North America
Country: United States
Job stats:  2  1  0
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