Reality Labs Research is looking to revolutionize user interface technologies for virtual and augmented reality experiences and robotics by developing novel actuation and transmission, sensing, and control policies, addressing integration and manufacturing challenges to shape the future of robotics and robotic dexterous manipulation.
Requirements
- Understand state of the art in robotic manipulation and advancing the technological frontier in an impactful and efficient way
- Experience with rapid prototyping spanning both hardware and software
- Experience working with robot manipulation
- Experience with electro-mechanical design tools such as Solidworks, Siemens NX, Altium Designer, or other related software
- Experience with programming languages such as Python, MATLAB, C/C++, or other related languages
- Experience with robotics-related frameworks such as ROS, Mujoco, and ISAAC Sim
Responsibilities
- Conduct collaborative research on developing novel end effectors for robotic dexterous manipulation.
- Rapid prototype end effector mechatronic design and test.
- Develop benchmarks as needed to assess the performance of each prototype.
- Apply design-in-simulation and other optimization techniques to rapidly iterate through the design space for end effectors, using physics models as appropriate.
- Design fabricate and test novel end effectors that leverage advanced transducers.
- Collaborate with SW researchers to create frameworks to train state-of-the-art control policies for control of the end effectors.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Other
- Currently has or is in the process of obtaining a Ph.D. degree in Mechanical Engineering, Electrical Engineering, Robotics, or relevant technical field
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
- Intent to return to degree-program after the completion of the internship/co-op
- Experience working and communicating cross functionally in a team environment
- Availability for minimum 16 consecutive week internship
