Engineer - Estimation / Detection Theory - Military veterans preferred

2021-06-02
Kellogg Brown & Root (www.kbrjobs.com)
Other

/yr

  full-time   employee


Ann Arbor
Michigan
48104
United States

Engineer - Estimation / Detection Theory

Location MI - Ann Arbor

Req # 5555

Minimum Clearance Required Clearance Eligibility

Thank you for your interest in joining the KBR team. Together, we can leverage the next generation of advanced technologies to deliver industry-leading capabilities across land, air, sea, space, and cyberspace. Our goal is to deliver innovative solutions using an agile, mission-first approach to address the most difficult technical challenges facing our customers. The only way that we can tackle these challenges is by recruiting the brightest minds in the industry to join our team.

KBRis seeking an Estimation & Detection Theory Engineer to join our team in Ann Arbor, Michigan. The candidate will support funded radar signal processing programs.

Job Duties:

  • Provide estimation, detection, tracking, and classification expertise to currently funded customer problems
  • Develop new estimation-theoretic algorithms and implement them in software (MatLab, Python)
  • Enhance and extend existing code bases to process data from new sensor systems
  • Prepare and present briefings to current and prospective customers
  • Work with a flexible schedule and be willing to travel to accommodate customer priorities

Required Qualifications:

  • MS or PhD degree in electrical engineering, mathematics, or physics with 3-5 years of experience in radar signal processing.
  • Programming experience in MatLab
  • Ability to work independently and in a team environment
  • Ability to effectively interact with customers, both for program development and program status
  • Strong oral and written communication skills

Security Requirements:

  • Must be a US citizen with the ability to obtain a TS security clearance.

KBR is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other factor protected by law.