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Senior Signal Analysis Engineer


Bedford, MA
  • Engineering
  • Information Technology
  • Computer Programming/Systems
  • Computer Engineering
  • Signal Processing
  • Communications
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Job Details

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challengesand we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every dayworking for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITREand make a difference with us.

MITRE seeks motivated and innovative engineers interested in
signal analysis research applied to signal processing applications towards the
development of enhancing our nations systems for navigation, timing, wireless
communications, and surveillance and reconnaissance sensors.  The
successful candidate should have a strong interest and some relevant background
with cyclostationary processing, wavelet analysis, machine learning, pattern
recognition, and/or statistical signal processing applied to at least one of
the following signal processing applications:


Key Functions:

  • Leading tasks to support
    wireless communications systems development and analysis, including
    modulation, coding, channel equalization, interference cancellation, and
    geolocation for cognitive radio applications.
  • Leading tasks to support
    projects developing, applying and evaluating state-of-the-art signal
    processing algorithms for satellite navigation systems. Tasks focus on
    development of advanced navigation signals and receiver signal-time
    system-level demonstration.

  • Leading tasks to support
    projects developing, applying and evaluating state-of-the-art signal
    processing algorithms for sensor systems. Tasks focus on the use of
    sensing technologies, such as radar and video, to support defense and
    intelligence applications.

The candidate is expected to

  • Lead signal analysis task efforts.

  • Design and analyze representation learning and deep/machine learning architectures compared to tradition signal processing.

  • Learn quickly on the job.

  • Interface directly with defense and intelligence community sponsors and other contractors.

  • Apply signal processing, electrical engineering, systems engineering, computer science, and machine learning to a diverse set of challenges

    Required Qualifications:

    Candidates must exhibit:

    • An exceptionally clear
      and structured thought process and coherent decision-making skills.

    • The ability to adapt and
      expand ones skillset to solve the problem at hand.

    • A desire to focus on
      technical and high impact work above all other factors.

    • Ability and desire to
      document results through technical and non-technical briefings, memos, and
      formal reports.

    • Ability to work in
      classified environments.

    Preferred Qualifications:

    • Candidates will have a
      background in electrical engineering, physics, computer science or
      mathematics and a strong foundation in both signal processing and machine
      learning. We are also looking for experience in information and
      communication system engineering, estimation and classification, radar
      systems, and image and video processing.

    • The candidate should
      have academic and/or professional experience with as many of the following
      topics as possible:

    • Supervised/Unsupervised
      learning processes

    • Variety of machine
      learning structures: support vector machine, probabilistic graphical
      models, neural networks, etc.

    • Digital signal
      processing and stochastic processes

    • Engineering mathematics:
      calculus, differential equations, linear algebra

    • Wireless communications

    • Detection and estimation

    • Proficient with Python,
      C/C++, and/or MATLAB

    • Software development,
      debugging, and support

    • Data parsing, reduction,
      analysis, and visualization.
    • A MS  or Ph.D. degree in Electrical or Computer
      Engineering, Computer Science, or a similar field.

    Minimum Qualifications:
    Bachelors Degree and 3 years related experience.