Postbaccalaureate Appointee - Robotics Software Developer, Rapid Prototyping Laboratory

<br /><p><span style="color:#212121">The Rapid Prototyping Laboratory (RPL) in the Data Science and Learning division builds self-driving laboratories, where robots, scientific instruments and AI work together to run experiments with minimal human intervention. We are seeking a Postbachelor Appointee to develop the robotics software that makes these laboratories work, and to bring new robotic platforms into them.</span></p><br /><p style="color:!important"><span style="color:#212121">You will integrate robotic hardware into our autonomous laboratories, including robotic arms, mobile manipulators and humanoid platforms such as Dexmate. This work spans the full path from an unfamiliar robot arriving on a loading dock to that robot running experiments under our orchestration software. You will write and extend device modules and REST APIs in MADSci, our open-source laboratory orchestration framework, so that each new platform becomes controllable through the same interface as the rest of the laboratory.</span></p><br /><p style="color:!important"><span style="color:#212121">A second part of the role is sensor integration and data collection for robot learning. You will instrument robots with cameras, tactile and force sensors, collect demonstration data using teleoperation devices, and support the training and evaluation of policies built on large robotics foundation models. You will help determine which tasks are good candidates for learned policies and which are better served by conventional control.</span></p><br /><p style="color:!important"><span style="color:#212121">Much of this work involves hardware and software that are new to the group, with incomplete vendor documentation and no established integration path. We are looking for someone who treats that as the interesting part of the job. You will work closely with staff across robotics, software and the scientific domains we support, and your contributions to MADSci will be released publicly.</span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Position Requirements</b></p><ul><li><span style="color:#212121">Recently completed Bachelor's degree in computer science, robotics, electrical engineering, mechanical engineering or a related field.</span></li><li><span style="color:#212121">Proficiency in Python, including experience writing code that others read and maintain.</span></li><li><span style="color:#212121">Hands-on experience with robotic hardware, such as robotic arms, mobile robots or humanoid platforms, including setup, calibration and troubleshooting.</span></li><li><span style="color:#212121">Experience with a robot middleware or control framework, such as ROS or ROS 2, or a vendor SDK.</span></li><li><span style="color:#212121">Experience developing or consuming REST APIs.</span></li><li><span style="color:#212121">Familiarity with version control and collaborative software development using Git.</span></li><li><span style="color:#212121">Demonstrated ability to bring up unfamiliar hardware from vendor documentation, and to m</span><span style="color:#212121">ake progress when that documentation is incomplete.</span></li><li><span style="color:#212121">Ability to communicate clearly with colleagues from robotics, software and experimental science backgrounds.</span></li><li><span style="color:#212121">Experience integrating sensors with robotic systems, including cameras, tactile sensors or force and torque sensing.</span></li><li><span style="color:#212121">Experience with teleoperation hardware and with collecting demonstration data for robot learning.</span></li><li><span style="color:#212121">Familiarity with machine learning frameworks such as PyTorch, and exposure to imitation learning, reinforcement learning or robotics foundation models.</span></li><li><span style="color:#212121">Experience contributing to an open-source project.</span></li><li><span style="color:#212121">Exposure to laboratory automation, scientific instrumentation or self-driving laboratories.</span></li><li><span style="color:#212121">Experience with containerized deployment using Docker.</span></li><li><span style="color:#212121">Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.</span></li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Family</b></p>Temporary<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Profile</b></p>Postbaccalaureate Appointee<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Worker Type</b></p>Long-Term (Fixed Term)<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Time Type</b></p>Full time<p style="text-align:inherit"></p><p style="text-align:inherit"></p><h3></h3>The expected hiring range for this position is $58,656.00-$92,273.00.<h3></h3><p style="text-align:inherit"></p><p style="text-align:left"><span><span>Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. </span></span></p><p style="text-align:inherit"></p><p style="text-align:left">Click <a target="_blank" href="https://www.anl.gov/hr/healthcare-insurance"><span><u>here</u></span></a> to view Argonne employee benefits!</p><h3></h3><p style="text-align:inherit"></p><p><i><span>As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.</span></i></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="text-align:left"><i>Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.  </i></p><p style="text-align:inherit"></p><p style="text-align:left"><i>All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.  Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements.  Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.</i></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>