Jobs · Engineering · West Virginia

Software Engineer (Multiple Levels)

Parsons Corporation · Summit Point, WV · 2 wk ago
Engineering$88k–$155k/yrFull-time

Job Description

Adds new features and capabilities to Parsons DroneArmor CUAS C2 Software product line.

Integrates new CUAS sensors and effectors with the DroneArmor CUAS C2 software.

API Familiarity: Works with Application Programming Interfaces (APIs), ICDs, etc to ensure seamless integration and functionality.

Leverages internally developed, CUAS specific AI/ML capabilities to:

  • Diagnose and develop technical solutions related to software issues discovered during internal testing or by customers using deployed systems.
  • Develop and code interface messaging software components to facilitate communication between systems.
  • Supports the demonstration of Parsons CUAS capabilities that you have helped to develop.

Required Skills

  • Bachelor's Degree in computer science, electronics engineering or other engineering or technical discipline is required.
  • Junior – 2+ years experience or 6+ years experience in lieu of degree
  • Journeyman – 5+ years experience or 11+ years experience in lieu of degree
  • Sr. – 8+ years experience or 14+ years experience in lieu of degree
  • Lead – Masters and 10+ years experience or 16+ years experience in lieu of degree
  • US citizenship is a requirement for position consideration
  • Expertise with Java software development.
  • Proficiency in developing and implementing custom software algorithms and applications.
  • Familiarity with COTS and GOTS software applications.
  • Experience with Application Programming Interfaces (APIs).
  • Proficiency in coding interface messaging software components.
  • Experience in designing, testing, debugging and documenting software.
  • Ability to work collaboratively in a team environment and independently when required.
  • Excellent verbal and written communication skills.
  • Senior/Lead Level: Experience interfacing with customers and collaborating on requirements development and test planning
  • Experience working with hardware

Desired Skills

  • Experience with Atlassian Products & GIT
  • Experience with Docker, Swing, React
  • Expertise in with AI/ML algorithm development and training
  • Familiarity with one or more of the following disciplines: CUAS, Electronic Warfare(EW), Command & Control (C2), Radars, EOIR/Cameras and/or Communications Electronics
  • Experience working with or developing Geospatial Systems and processing/transforming geospatial data
  • Ability to mentor peers and share knowledge effectively
  • Willingness to travel occasionally to customer sites
  • Specific to AI/ML roles within the CUAS group: Languages: Python (Expert), C++ (Intermediate/Advanced) Tools: Docker, Git, CMake, Confluence, JIRA. Bonus if experience with Jenkins and Artifactory
  • Experience deploying ML models to edge devices
  • Experience optimizing inference pipelines
  • Experience curating custom datasets

Pay

$88,400.00 - $154,700.00

Benefits

  • Medical
  • Dental
  • Vision
  • Paid time off
  • Employee Stock Ownership Plan (ESOP)
  • 401(k)
  • Life insurance
  • Flexible work schedules
  • Holidays

About the Role

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential.

Qualifications

None

Skills

  • Java software development
  • Custom software algorithms and applications
  • COTS and GOTS software applications
  • Application Programming Interfaces (APIs)
  • Interface messaging software components
  • Designing, testing, debugging and documenting software
  • Collaborative team environment
  • Verbal and written communication skills
  • Interfacing with customers and collaborating on requirements development and test planning
  • Working with hardware
  • Atlassian Products & GIT
  • Docker, Swing, React
  • AI/ML algorithm development and training
  • Geospatial Systems and processing/transforming geospatial data
  • Mentoring peers and sharing knowledge
  • Traveling to customer sites
  • Deploying ML models to edge devices
  • Optimizing inference pipelines
  • Curating custom datasets

Benefits

  • Medical
  • Dental
  • Vision
  • Paid time off
  • Employee Stock Ownership Plan (ESOP)
  • 401(k)
  • Life insurance
  • Flexible work schedules
  • Holidays

Pay

$88,400.00 - $154,700.00

Schedule

Not specified

Benefits

  • Medical
  • Dental
  • Vision
  • Paid time off
  • Employee Stock Ownership Plan (ESOP)
  • 401(k)
  • Life insurance
  • Flexible work schedules
  • Holidays

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