Do you dream about a metaverse full of robots interacting with virtual humans? Do you follow the latest developments in contact-force simulation? Do you regularly read the specs of the latest graphics cards and their new capabilities to see how much further you can push your simulation tools? Simulation will be at the core of everything we do. A world-class simulation platform is foundational to developing a trustworthy robot capable of working alongside humans in a wide diversity of process paths. As the simulation lead, you will be responsible for selecting our technology stack, defining our approach to modeling the robot and the world in simulation, and building the scaffolding to enable full digital twin development and testing, not just for our internal teams but for our partners as well.

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.

We're hiring virtually, in addition to our San Francisco Bay Area, California office onsite.

Builder Opportunity:

  • Build out a world-class simulation foundation for developing a trustworthy robot
  • Define our approach to modeling the robot and the world in simulation
  • Build the scaffolding to enable full digital twin development and testing, not just for our internal teams but for our partners as well

Minimum Qualifications:

  • Bachelor’s degree in Computer Science or related technical field, or equivalent experience
  • 4+ years of experience working directly within engineering teams
  • Hands-on experience implementing or building upon simulation frameworks
  • Full-stack experience from GPU through to 3D asset modeling and everything in-between
  • Proficiency in Python or C++ and willingness to pick up new languages or technologies as needed
  • Strong mathematical fundamentals in 3D geometry, linear algebra, probability theory, and numerical optimization
  • Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team
  • Highly motivated teammate with excellent oral and written communication skills

Preferred Qualifications:

  • Master’s degree or PhD in Computer Science, Computer Engineering, or Electrical Engineering
  • Experience with physical system modeling and simulation
  • Engineering people-management experience
  • Experience in machine learning
  • Solid design and architecture knowledge
  • First-hand experience with robotic or autonomous vehicle simulations

Collaborative Robotics is committed to a diverse and inclusive workplace. Collaborative Robotics is an equal opportunity employer and does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.