Develop and integrate VLAs or VAMs (Vision-Action models) linking perception to autonomous robot actions involving complex manipulation and/or navigation.
Invent and deploy innovative solutions combining VLAs with classic optimization-based planners to enhance the robustness of robot behaviors.
Collect, clean, and visualize a variety of data from robot mobile manipulation tasks.
Gain a deeper understanding of the failure modes and bottlenecks in state-of-the-art robot foundation models.

Requirements

Currently pursuing a M.S. or P.h.D. in an engineering-related field.
A strong background in connecting robotic perception with robot actions in the real world.
Experience with Pytorch and developing/training deep neural networks.
Strong software engineering skills, preferably in both Python and C++.
A team player with strong communication skills and a willingness to learn from others.
Passionate about seeing robotics have a real-world, large-scale impact.

Benefits

medical insurance
dental insurance
vision insurance
paid time off benefits (including holiday pay and sick time)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

robotic perceptionrobot actionsdeep neural networkssoftware engineeringPythonC++data visualizationoptimization-based plannersrobot mobile manipulationfailure modes

Soft skills

communicationteam playerwillingness to learnpassion for robotics

Certifications

M.S.Ph.D.