Software Engineering Manager

Job Description

Parsons is looking for amazingly talented Software Engineering Managers to join our team!

Join Parsons and build your expertise in the Counter‑UAS and AI/ML fields.

Are you ready to be at the forefront of two of the highest growth areas most innovative areas of engineering today? Parsons is seeking dynamic and driven individuals to join our CUAS team and help build, test and deploy the next generation of CUAS systems to protect both our warfighters and critical infrastructure and events here at home.

By joining Parsons, you will be part of a dedicated team that values innovation, excellence, and the impact of work on national and global security. Your contributions will not only advance your career by exposing you to innovative new technologies but also ensure the safety of countless lives.

If you are passionate about contributing to a safer world and ready to take on a challenge that will transform your career, we want to hear from you. Join Parsons and be part of a company where your work makes a difference every day.

Embark on this exciting journey with Parsons—where the future of Army communications is in your hands. Apply now to become a key player in our mission‑critical projects and take your career to new heights!

As a Software Engineering Manager at Parsons, you will play a crucial role in troubleshooting and developing technical solutions to some of the most pressing safety issues of our time. This position requires a blend of creativity, technical expertise, a collaborative mindset and the ability to complete assignments with limited supervision.

• Adding new features and capabilities to Parsons Drone Armor CUAS C2 Software product line.
• Integrating new CUAS sensors and effectors with the Drone Armor CUAS C2 software.
  • API Familiarity:
    Work with Application Programming Interfaces (APIs), ICDs, etc to ensure seamless integration and functionality.
• Leveraging internally developed, CUAS specific AI/ML capabilities.
• Diagnosing and developing 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.
• Supporting the demonstration of Parsons CUAS capabilities that you have helped to develop.

• Bachelor's Degree in computer science, electronics engineering or other engineering or technical discipline is required.
• 10+ years experience or 16+ years experience in lieu of degree
• Must have an active Secret security clearance or be eligible to obtain one.
• 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.
• Experience managing teams of SW Engineers through complex development efforts.
• Experience interfacing with customers and collaborating on requirements development and test planning
• Ability to work collaboratively in a team environment and independently when required.
• Excellent verbal and written communication skills.

• Master's degree preferred
• 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…