Robotics Software Engineer

The University of Texas at Austin; Austin (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

The University of Texas at Austin, Department of Computer Science, invites applications for a Robotics Software Engineer on the UT Main Campus. The role supports the Center for Human and Robot Co-Adaptation (HRC) and HERO Facility Network, contributing to long-term deployments of assistive robots in real-world settings.

The position is full-time, exempt, with a 40-hour work week and immediate start date. Candidates will collaborate with multi-disciplinary teams across robotics, AI, cognitive

Job description

General Notes
The Center for Human and Robot Co-Adaptation (HRC) brings together six universities: The University of Texas at Austin, Indiana University Bloomington, Massachusetts Institute of Technology, Tufts University, University of Utah, and Yale University. Together, we study how people and robots can, do, and might adapt to one another over months and years as needs, skills, expectations, and social contexts change. The Center unites researchers across robotics, AI, cognitive science, social science, data, and ethics to establish a new science of human-robot co-adaptation. This science will be developed, tested, and refined through the Human Environment with Robots (HERO) Facility Network: long-term deployments of assistive robots in real-world settings including student dorms, cafés, museums, homes, hospitals, and assisted-living facilities.

Job Posting Title:
Robotics Software Engineer
Hiring Department:
Department of Computer Science
Position Open To:
All Applicants
Weekly Scheduled Hours:
40
FLSA Status:
Exempt from FLSA
Earliest Start Date:
Immediately
Position Duration:
Expected to Continue
Location:
UT MAIN CAMPUS
Job Details:
General Notes
The Center for Human and Robot Co-Adaptation (HRC) brings together six universities: The University of Texas at Austin, Indiana University Bloomington, Massachusetts Institute of Technology, Tufts University, University of Utah, and Yale University. Together, we study how people and robots can, do, and might adapt to one another over months and