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Research Engineer: Automotive Perception Sensors

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program.  

Position Description:

NIST is seeking a candidate to work on a project related to evaluating automotive perception sensors. The project requires a candidate with multidisciplinary skills who will execute most of the following tasks with guidance from the project leader. 

Key responsibilities will include but are not limited to:

  • Acquire data from automotive perception sensors such as lidars, radars, and cameras.
  • Work with software relevant to each of the sensors and acquire data using ROS2 on Ubuntu/Linux.
  • Design and execute sensor test procedures in various static and dynamic environments.
  • Design test artifacts and setups using CAD software (SolidWorks) and send them for fabrication.
  • Design fixtures, mounting apparatus, etc. using 80-20 extrusions.
  • Collecting data with ground truth systems (laser trackers, etc.); training will be given if no experience is required.
  • Perform market research on products, equipment, and sensors relevant to the project and compile information for purchases.
  • Conducting and documenting experiments, analyzing data, and writing reports.
  • Present work to the team, articulate ideas and seek feedback.

 

Desired Qualifications

  • MS or BS in the following engineering fields: Electrical engineering, Mechanical engineering, Computer engineering, Robotics). Undergraduate students with relevant experience will also be considered for part-time appointments.
  • Software and OS:
    • ROS, ROS2, C, C++, Python - relevant to compile modules for ROS2.
    • Be able to work on both Linux and Windows
    • MATLAB and Python programming for exploratory data analysis and statistics
    • Experience with CAD software for making parts/fixtures for the setup
    • Experience with Version control software and workflow (Git/Github/Gitlab)
  • Other relevant experience:
    • Experience in working with 3D point cloud data.
    • Experience in measurement, testing, and evaluation of hardware and sensors.
    • Hands-on work experience with tools, 80-20 extrusions
    • Report writing and making presentations with relevant figures/illustrations/data.
    • Strong oral and written communication skills that convey ideas and work in an efficient manner.
    • Good documentation of the work that enables reproduction of the tests and results.
    • Experience with various collaboration tools such as Slack, MS Teams,  Google suite.
  • Other desired skills:
    • Be able to use in-house machining equipment (after training) for minor modifications
    • Familiarity with Raspberry Pis and Arduino controllers (or alternatives)

 

Period of performance: 6 months from the start date. 

Note: Onboarding after the selection of the candidate takes approximately 8 weeks.

All benefits and salary will be determined by the university that hires the candidate. Please see https://www.nist.gov/iaao/academic-affairs-office/professional-research-experience-program