Signals Software Engineer II

About the role

Reflexive Concepts is seeking a skilled Signals Software Engineer to analyze, design, develop, and maintain signal processing software in a Linux environment. The role involves both individual contributions and team leadership, with a focus on RF systems and complex signal processing algorithms.

Responsibilities

• Analyze user requirements to derive software design and performance requirements
• Design and code new software or modify existing software to add new features
• Debug existing software and correct defects
• Describe various signal processing techniques and identify digital modulation techniques
• Integrate existing software into new or modified operating environments
• Provide recommendations for improving documentation and software development process standards
• Develop and implement algorithms to meet system performance and functional standards
• Assist with developing and executing test procedures for software components
• Write and review software and system documentation
• Develop software solutions; confer with users or system engineers; analyze systems flow, data usage, and work processes; and investigate problem areas
• Serve as team lead at the level appropriate to the software development process being used on any particular project
• Modify existing software to correct errors, adapt it to new hardware, or improve its performance
• Design, develop, and modify software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design
• Use signal processing algorithms to convert signals and design signal processing software based on sparse documentation
• Lead one or more software development teams and ensure work is completed in accordance with software development process constraints
• Design and implement complex signal processing algorithms requiring adherence to strict timing, system resource, or interface constraints
• Perform quality control on products
• Write software using C++ and Java; suggest additional languages as needed to solve problems
• Apply an advanced understanding of the Linux operating system
• Confer with system and software engineers to derive software requirements and obtain information on project limitations, capabilities, performance requirements, and interfaces
• Develop and maintain a software framework to enable efficient processing of data
• Identify the source of problems in a Radio Frequency (RF) processing system and associated systems in an enterprise architecture
• Develop, maintain, and enhance signal processing software (e.g., detectors, demodulators, protocol processors)
• Review and test software components for adherence to design requirements and document test results
• Resolve software problem reports
• Utilize software development and design methodologies appropriate to the development environment
• Provide specific input to software components of system design, including hardware/software trade-offs, software reuse, use of Commercial Off-the-Shelf (COTS)/Government Off-the-Shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components

Requirements

• Bachelor's degree in Computer Science or related discipline from an accredited college or university is required
• At least seven (7) years of experience as a Software Engineer or equivalent on a project with a focus on Radio Frequency (RF), including experience with:
  • Fourier transforms
  • Filtering
  • Communications theory
  • Digital modulation
  • Error control coding
  • Signals analysis tools (e.g., WVT, DVT)
  • Digital signal processing (e.g., adaptive beamforming/filtering, demodulation)
• Four (4) years of additional Software Engineer or equivalent experience on projects with similar software processes may be substituted for a bachelor's degree

Skills

• C++ and Java
• Linux operating system
• Signal processing algorithms and techniques
• Software defined radio architecture (e.g., SCA, REDHAWK, or GNU)
• Commercial wireless standards and geolocation techniques
• Software configuration management tools (e.g., Git, ClearQuest, Trac, or Subversion)
• Python
• Eclipse IDE
• Google Protocol Buffer
• Model-based design (e.g., MATLAB, Simulink)
• Service-oriented architecture