Research/Applied Scientist - Manipulation Skill Composition

Cambridge, MA
Research /
Full Time /
On-site

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How did you hear about us?

  • Please let us know if you met an employee of the Institute and where you met them (conference, career event, etc.) or if you heard about us on a social media site (Linkedin posting, Indeed, Publication etc)

Onsite Availability

  • Are you able to work at least 4 days per week on-site at our office in Cambridge, MA?

Pre Screening Questions for PERM ads

  • Are you legally authorised to work for any employer in the United States?
  • Do you now, or will you in the future, require sponsorship for employment visa status to work in the United States?
  • Do you possess a Master’s degree or foreign equivalent in Electrical and Computer Engineering, Robotics, or a related field?
  • Please indicate the number of years of post-baccalaureate experience you have in a robotics engineering-related occupation.
  • Please indicate the number of years of experience you have utilizing C++, Python, and CUDA applications in a production environment.
  • Please indicate the number of years of experience you have utilizing Robotic Operating System (ROS) and related distributed computing architecture.
  • Please indicate the number of years of experience you have working with vision (cameras and lidars) and inertial sensors (IMU, GPS, and RTK).
  • Please indicate the number of years of experience you have designing calibration techniques and algorithms for vision and inertial sensors.
  • Please indicate the number of years of experience you have with localization and sensor fusion algorithms, including Kalman filters, factor graphs, and Bayesian inference techniques.
  • Please indicate the number of years of experience you have with time synchronization between sensors and distributed computing network.
  • Please indicate the number of years of experience you have utilizing machine learning with deep neural networks for object and terrain detection, and monocular depth estimation.
  • Please indicate the number of years of experience you have adapting and implementing Structure From Motion (SFM) algorithms.
  • Please indicate the number of years of experience you have utilizing convex and non- convex optimization algorithms.

U.S. Equal Employment Opportunity information   (Completion is voluntary and will not subject you to adverse treatment)

Our company values diversity. To ensure that we comply with reporting requirements and to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment.