Signals Software Engineer Skill Level 2 [D.26.0141]

Requires Top Secret/SCI with Full Scope Poly

Salary Range: $187k-$204k per year with an additional $47k-$51k in immediately vested company 401(k) contributions

Position Requirements
The Signals Software Engineer develops, maintains, and enhances signal processing software (e.g. detectors, demodulators, protocol processors). Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include 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.

Position Responsibilities

Analyze user requirements to derive oft-ware 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

Identify various digital modulation techniques

Integrate existing software into new or modified system or operating environments

Provide recommendations for improving documentation and software development process standards

Develop/implement algorithms to meet system performance and functional standards

Assist with developing and executing test procedures for software components

Write/review software and system documentation

Develop software solutions, confer with user or system engineers

Analyze systems flow, data usage and work process

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 error, to adapt to new hardware, or to improve its performance

Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design

Use signal processing algorithms to convert a signal

Design signal processing software based on sparse documentation

Lead one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project

Design/ implement complex signal processing algorithms requiring adherence to strict timing, system resource, or interface constraints

Perform quality control on products

Write software using C++ Java; suggest languages as needed to solve problems

Advanced understanding of the Linux operating system

Confer with system engineers and software engineers to derive software requirement and to obtain information on project limitations and capabilities, performance requirements and interfaces

Develop and maintain 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

Implement recommendation for improving documentation and software development process standards

Basic Qualifications

Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.

At least seven (7) years’ experience as a SSWE or equivalent on a project with a focus on Radio Frequency (RF) to include experience with Fourier transforms, filtering, communications theory, digital modulation, error control coding, signals analysis tools (e.g. WVT, DVT), and digital signal processing (e.g. adaptive beamforming/ filtering, demodulation).

Four (4) years of additional SSWE or equivalent experience on projects with similar software processes may be substituted for a bachelor’s degree.

Preferred Qualifications
Software defined radio architecture (e.g. SCA, REDHAWK, or GNU), commercial wireless standards 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, SlMULINK), service oriented architecture, and Linux OS.

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