CUAS SW Engineer

Parsons Corporation

1d•Hybrid

About The Position

Parsons is looking for amazingly talented Software Engineers to join our team! Join Parsons and build your expertise in the Counter-UAS and AI/ML fields. Are you interested in being at the forefront of two of the highest growth and most innovative areas of engineering today? Parsons is seeking a 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. Your Next Mission Awaits 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 Engineer 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. In-office candidates in the NoVa / West Virginia area are preferred, but remote options are also available for well qualified self-starting candidates.

Requirements

Bachelor's Degree or equivalent work experience in computer science, engineering, mathematics or a related STEM discipline.
5+ years of work experience showing elevating levels of responsibility
Must have a current/active Secret clearance or the ability to secure one.
Expertise with Java software development.
Proficiency in developing and implementing custom software algorithms and applications.
Experience with Application Programming Interfaces (APIs).
Proficiency in coding interface messaging software components.
Experience in designing, testing, debugging and documenting software.
Familiarity with Ansible and open / modular SW engineering best practices.
Ability to work collaboratively in a team environment and independently when required.
Excellent verbal and written communication skills.

Nice To Haves

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), LIDARCommand & 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.
Ability to work locally full time or hybrid in our Summit Point, WV CUAS Integration and Test Facility (1 hour out side DC / Northern Virginia).
Willingness to travel occasionally to customer sites (and Parsons’ CUAS Integration Facility if a remote employee).
Specific to roles focusing on AI/ML work within the CUAS group: Languages: Python (Expert), C++ (Intermediate/Advanced) 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.

Responsibilities

Adding new features and capabilities to Parsons DroneArmor CUAS C2 Software product line.
Integrating new CUAS sensors and effectors with the DroneArmor CUAS C2 software.
Work with Application Programming Interfaces (APIs), ICDs, etc to ensure seamless integration and functionality.
Process data from sensors to improve their effectiveness via the application of AI/ML based analysis of raw sensor data.
Control sophisticated effectors specifically designed to counter emerging CUAS threats.
Add and improve system automation to ensure operators are rarely required to intervene in system operation and collateral damage is minimized when drones are mitigated.
Leverage internally developed, CUAS specific AI/ML capabilities to improve system automation and provide customers’ actionable insights into the drone activity in their area. This includes leveraging AI/ML (including LLMs) to support intelligent, automated analysis of the vast amounts of data collected by CUAS systems.
Diagnose and develop technical solutions related to complex software issues discovered during internal testing or by customers using deployed systems.
Develop and deploy integrations with other higher and lower level C2 and data sharing tools including up-echelon C2 / Common Operating Picture (COP) tools and down-echelon (TAK) systems that provide situational awareness data to end users and warfighters.
Directly supporting the demonstration and deployment of Parsons CUAS capabilities that you have helped to develop to protect and save lives.