Signal Processing Software Engineer

2 months ago

St Petersburg, United States 00100 LEIDOS, INC. Full time

Position Overview

Leidos, a leader in providing innovative solutions, is looking for skilled professionals with expertise in signal processing engineering to join our dynamic team. This role involves contributing to both U.S. Government and commercial projects focused on software design, development, testing, integration, documentation, and maintenance.

The Signal Processing Engineer will be responsible for converting system specifications into software requirements, engaging in software architecture, and implementing applications and features within an agile framework. Candidates should possess robust skills in C/C++ and Python programming languages. The role includes the development, maintenance, and enhancement of signal processing software, such as detectors, demodulators, and protocol processors. You will work independently or collaboratively, ensuring software components meet design specifications and documenting testing outcomes. Additionally, you will address software problem reports and apply suitable software development methodologies.

Key Responsibilities

  • Participate in all stages of the software development lifecycle, from requirements gathering to system design, development, integration, testing, documentation, and maintenance for complex software systems.
  • Analyze user needs to derive software design and performance specifications.
  • Create new software or modify existing applications to incorporate additional features.
  • Debug and rectify software issues.
  • Explain various signal processing methodologies.
  • Identify and apply different digital modulation techniques.
  • Utilize C/C++ and Python for software development.
  • Demonstrate a functional understanding of Linux-based operating systems.
  • Integrate existing software into new or modified systems.
  • Recommend improvements for documentation and software development standards.
  • Develop and implement algorithms to achieve system performance and functional objectives.
  • Assist in creating and executing test procedures for software components.
  • Draft and review software and system documentation.
  • Collaborate with users or system engineers to develop software solutions.
  • Examine system flow, data usage, and work processes.
  • Investigate and resolve problem areas.
  • Lead teams at an appropriate level based on the software development process utilized in specific projects.
  • Modify existing software to fix errors, adapt to new hardware, or enhance performance.
  • Design, develop, and adjust software systems using scientific analysis and mathematical models to predict and assess outcomes.
  • Employ signal processing algorithms for signal conversion.
  • Design signal processing software with limited documentation.
  • Identify issues within RF processing systems.
  • Engage in Board Support Package (BSP) development.

Basic Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, along with 2-4 years of relevant experience, or a Master's degree with 2 or fewer years of experience.
  • Ability to obtain and maintain a Secret Security Clearance.
  • 2-4 years of experience in software development through all phases of Software Engineering, including requirements, design, coding, testing, and integration.
  • 2-4 years of experience with C/C++ and Python.
  • 2-4 years of experience with Linux.
  • Experience in real-time software development.
  • Knowledge of hardware-software integration.
  • Familiarity with RF concepts.

Preferred Qualifications

  • Experience with Agile development methodologies, including Scrum.
  • Knowledge of software-defined radio and FPGA architectures.
  • Familiarity with commercial wireless standards and geolocation techniques.
  • Experience with software configuration management tools (e.g., Git, Bitbucket).
  • Proficiency in Python and C/C++, as well as Eclipse IDE.
  • Experience with Xilinx and/or Altera technologies.
  • Understanding of service-oriented architecture and Linux OS.
  • Experience with model-based design tools (e.g., MATLAB, SIMULINK, LabView).

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