Digital Signal Processing (DSP) Engineer - 18083

Mission Technologies, a division of HII
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Job Description

Candidate must be able to function as the Digital Signal Processing (DSP) Subject Matter Expert for our team. The candidate must be able to solve problems creatively, communicate effectively, and proactively engage in technical decision making to achieve objectives. This individual will be a team player and work well with technical professionals in an agile environment. The position requires the ability to go from a processing model to hardware reality with a multi-discipline team

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Essential Job Responsibilities

  • Be part of a team responsible for creating, maintaining, and augmenting digital signal processing software
  • Present status reports to key internal stakeholders.
  • Evaluate new tools, technologies, and processes to improve digital signal processing chains
  • Other job-related duties as assigned.

Minimum Qualifications

  • 2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
  • Bachelor’s or Master’s Degrees in Physics, Mathematics, Electrical Engineering or an equivalent work experience.
  • Must be able to obtain and maintain a TS/SCI security clearance with advanced security checks
  • Minimum Secret clearance is required to start
  • 3+ years of digital signal processing experience
  • Cellular/satellite communications, wireless protocols, algorithms, data analysis
  • Good written and oral communication skills.
  • Self-starter – takes the initiative to research, learn, and deliver. Anticipates the play.
  • Team player – humble, collaborative, and focused on making sure the entire team succeeds.

Preferred Requirements

  • 3+ years of programming experience in C/C++, MATLAB and Python
  • 3+ years of experience with CUDA/FGPA signal processing
  • 3+ years of experience with RF test equipment
  • [Desired] Experience with X-Midas, GNU Radio and/or REDHAWK
  • [Desired] Experience with containers like Docker and Kubernetes
  • [Desired] Experience working in cloud environment

Why HII

We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.

Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.

Together we are working to ensure a future where everyone can be free and thrive.

Today’s challenges are bigger than ever, and the nation needs the best of us. It’s why we’re focused on hiring, developing and nurturing our diversity. We believe that diversity among our workforce strengthens the organization, stimulates creativity, promotes the exchange of ideas and enriches the work lives of all our employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Company Info.

Mission Technologies, a division of HII

The Mission Technologies division of HII is dedicated to creating comprehensive solutions that empower the contemporary interconnected, all-domain military force. Our capabilities encompass C5ISR systems and operations, the integration of artificial intelligence and machine learning into battlefield decision-making, defensive and offensive cyberspace strategies, electronic warfare (EW), unmanned and autonomous systems, Live, Virtual, Constructive

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