Description

The Iowa Technology Institute within the College of Engineering is seeking a Robotics Simulation Engineer. This role will focus on the development and control of Santos, the virtual soldier, within the NVIDIA Isaac platform and will apply advanced robotics principles to a humanoid model, creating and validating complex virtual human behaviors for simulation environments. 

This will be a two year specified term appointment, (anticipated end date 8/31/2027), and is funded by the US Army I-STRIKE project.

Specific Job Duties and Tasks:

• Utilize and process motion capture (MoCap) data to animate and validate Santos's movements, ensuring the virtual soldier's behavior is both physically accurate and realistic.
• Perform basic and complex procedures and techniques as outlined in research protocol, assure fidelity to protocols, may propose modifications to protocols and/or assist in the design of research protocols.
• Design portions of research plan. Monitor, test, and evaluate current procedures.
• Supervise adherence to safety and compliance guidelines when necessary.
• Contribute to progress reports required by funding agencies.Participate in the development of new proposals for research and obtain external funding support for new and/or continuing research activities.
• Perform experiments, simulations, or theoretical investigations. Collect data and evaluate relevance of data. Work independently on basic research tasks with oversight by Faculty or
• Principal Investigator (PI). Contribute to documentation of equipment and procedures.
• Prepare manuscripts for contributing author for publication. Present results in departmental seminars and at professional meetings.
• Participate in public outreach activities as required by funding sources. May participate in national and international meetings within the discipline.

To obtain the full job description including key areas of responsibility, technical competencies, and desirable qualifications, please contact adrian-cunningham@uiowa.edu

About the College of Engineering

The College of Engineering at the University of Iowa is driven by talented faculty, staff, and students who are dedicated to producing knowledge that addresses grand challenges in advanced technologies, health sciences, sustainability, energy, and the environment. We pride ourselves on producing ethical, globally aware engineers whose work makes the world safer and more efficient. As a center of innovation and discovery, the College of Engineering is committed to improving the quality of life for our Iowa community, as well as for people across the United States and around the world.

We uphold the values of respect, community, and collaboration in all our endeavors, fostering a welcoming and respectful environment where members are valued and supported. Joining our team means becoming part of a supportive environment that values work-life balance and personal well-being. The University of Iowa offers a comprehensive benefits package, including health and wellness resources, dual career support, and opportunities for professional development. Learn more about working at the University of Iowa: Build A Career/Build a Life.

Requirements

Education Requirement:

• Bachelor’s degree in related field and a minimum of 3 years of experience or equivalent combination of education and experience.

Required Qualifications:

• Expert knowledge of robotic kinematics, including humanoid kinematics and locomotion, control theory, and advanced motion planning for complex, multi-degree-of-freedom systems.
• Strong Proficiency in Python for simulation scripting, and exceptional skills in C++ for developing high-performance, real-time control modules.
• Extensive experience with NVIDIA Isaac Sim and the broader Omniverse platform. This includes building and configuring virtual worlds, importing assets, and using the core APIs to create and test human-centric scenarios.
• Specific experience with humanoid robotics or virtual characters, with a focus on implementing inverse kinematics and bipedal control systems.
• Practical experience with virtual sensor creation and data processing, specifically for use in perception and navigation tasks within a simulated environment.