19 часов назад
Engineer – Embodied AI Lab Automation: Vision-Guided Real-Time Robotic Manipulation (Robotics)
71 900 - 119 000$
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Описание вакансии
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TL;DR
Engineer – Embodied AI Lab Automation: Vision-Guided Real-Time Robotic Manipulation (Robotics): Developing an automated protein crystal harvesting system with an accent on computer vision, machine learning, and robotic manipulation. Focus on designing closed-loop perception and control pipelines, visual servoing, ROS2 and MoveIt2 integration, and robust real-time operation in a laboratory environment.
Location: On-site at in Upton, New York, United States
Salary: $71,900–$119,000 per year, commensurate with qualifications, education, experience, and internal level.
Company
is a U.S. Department of Energy-supported multidisciplinary research laboratory focused on discovery science and transformative technology.
What you will do
- Develop vision-guided, real-time robotic manipulation methods for harvesting fragile micron-scale protein crystals.
- Design and deploy closed-loop perception and control pipelines using visual feedback and visual servoing.
- Integrate perception outputs with motion planning and execution using ROS2 and MoveIt2.
- Perform hand-eye and camera calibration to ensure accurate 3D spatial alignment.
- Evaluate system robustness, perception uncertainty, failure modes, and real-world performance.
- Collaborate with crystallographers, beamline scientists, controls engineers, mechanical engineers, and data scientists while documenting results for reports, publications, and presentations.
Requirements
- B.S. in Robotics, Computer Science, Physics, Applied Mathematics, Mechanical Engineering, Electrical Engineering, or a related field; all degree requirements must be completed by the start of employment.
- Demonstrated experience developing and implementing robotics systems.
- Strong programming skills in Python and/or C++.
- Knowledge of robot kinematics, coordinate transformations, motion planning, trajectory generation, and calibration methods.
- Ability to work on-site at in Upton, New York.
- Ability to obtain and maintain a DOE Uncleared Personal Identity Verification credential is required.
Nice to have
- M.S. in Robotics, Computer Science, Physics, Applied Mathematics, Mechanical Engineering, Electrical Engineering, or a related field.
- Experience with vision-guided control, ROS2-based ecosystems, camera and hand-eye calibration, and coordinate frame registration.
- Experience integrating machine learning models into robotics.
- Familiarity with micro-manipulation, sensor fusion, state estimation, real-time debugging, and performance tuning.
Culture & Benefits
- Two-year term appointment with possible renewal based on performance and funding availability.
- Multidisciplinary collaboration across crystallography, controls, engineering, and data science.
- Employee benefits program provided by .
- Federal laboratory environment focused on scientific discovery and technological innovation.
- REAL-ID-compliant documentation is required for access to the laboratory site, including interviews.
Hiring process
- Submit a brief cover letter describing relevant experience and career goals together with a resume or CV.
- Selected candidates complete the DOE credentialing process as part of onboarding.
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