Automotive Perception Sensors Engineer

Research Title: Sensing and Perception Systems Group (Post-Bac) - PREP0002679

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)
   

To apply: 

• If you are interested in one of these positions, please send an email with the subject "Job Enquiry PREP000XXXX" to GUNISTPREP@georgetown.edu, where PREP000XXXX is the job number noted above.
• Please send your CV and a short cover letter explaining your suitability for the position.
• Please combine your documents into a single document in PDF format.

For the full job description: 
 https://georgetown.box.com/s/3opso108gvfzs286qtlctw4u43se6j50