Signal Processing Engineer Job at Gridiron IT, Aberdeen, MD

  • Gridiron IT
  • Aberdeen, MD

Job Description

Job Description

Digital Signal Processing Engineer

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Location: Aberdeen or Fort Meade, MD

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Work Type : Onsite

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Remote Work : Yes (1 day onsite / 4 days remote)

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Job Description

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Gridiron IT is seeking a DSP Engineer to Demonstrated ability in related Digital Signal Processing engineering discipline. Supports engineering efforts that provide engineering, technical, and managerial direction for problem definition, analysis, requirement development, and implementation for complex systems in the engineering discipline required to meet technical requirements. Participates in efforts that develop recommendations and advice on system development, improvements, optimization, or support efforts.

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Responsibilities

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  • Develop SharePoint from OOTB to custom applications and UX/UI (2010, · Design, develop, and optimize DSP algorithms for signal acquisition, processing, and analysis.
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  • · Implement DSP algorithms in software using programming languages such as Python, C/C++,
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  • · Conduct simulations and perform data analysis to validate algorithm performance and effectiveness.
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  • · Work closely with User Interface Developers to integrate DSP solutions into systems and platforms.
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  • · Participate in code reviews, documentation, and continuous improvement activities.
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  • · Stay abreast of the latest advancements in DSP techniques, tools, and technologies.
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Qualifications

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  • Required:3 years and Bachelors in related field
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  • 5 years and associates in related field
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  • 15+ years
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· Bachelor’s degree in computer science, Software Engineering, Electrical Engineering, or related field with an emphasis on Digital Signal Processing

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· 3–7 of hands-on experience in DSP algorithm design and implementation

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· U.S. Citizenship

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· TS//SCI Clearance with the ability to obtain a CI Poly

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· Strong programming experience in C++ and Python

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· Experience developing applications in Linux environments.

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Desired:

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· Familiarity with GPU development, including CuPy and CUDA.

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· Accelerated python libraries, numpy, scipy

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· High-Performance Computing (HPC) or near-realtime processing

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Core Engineering Skills

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Development Environment

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· Experience with:

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· Git

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· CI/CD pipelines

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· Docker containers

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· Automated testing

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· Familiarity with:

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· Linux command line

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· Debugging tools

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· Performance profiling

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Clearance

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Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Requires TS/SCI with ability to obtain CI Poly

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Compensation and Benefits

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Salary Range: $109,000 - $150,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.)

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Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs.

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Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.

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Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.

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Job Tags

Full time, Part time, Work experience placement, Remote work

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