Senior Software Engineer – Autonomy Software

Jobtailor; Burlington (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an engineer to architect and develop advanced software for multi-vehicle autonomy in complex, contested environments. You will design, implement, and test autonomy software for embedded systems, integrate existing work into a unified architecture, and contribute AI/ML features for autonomous flight and crewed-uncrewed collaboration.

Occasional travel to remote test events is possible; the role requires a Bachelor's or higher and 4+ years of AI/robotics software experience,

Qualifications

• Bachelor’s degree or higher in a relevant STEM field.
• 4+ years of software development/R&D in AI for robotics and autonomous systems.

Responsibilities

• Architect and develop software for multi-vehicle autonomy.
• Design, implement, and test autonomy software for embedded systems.
• Support presentation of technical results to customers.
• Support integration of existing work into a unified software architecture.
• Develop software for AI/ML programs relating to autonomous flight.
• Occasional travel to remote test events.

Skills

C/C++ Development

Python Programming

AI for Robotics

Agile Development

Production-Quality Software

Modular Software Design

Education

Bachelor's degree or higher in STEM fields

Tools

Git/Gitlab/Github

Confluence

Jira

CI/CD

SonarQube

Conan

Job description

• Architect and develop advanced software for multi-vehicle autonomy for complex, contested environments
• Provide relevant technical expertise as part of a team to design, implement, and test autonomy software systems for embedded uncrewed multi-vehicle autonomy
• Support presentation of technical results to internal and external customers
• Support integration of existing work into a unified software architecture
• Develop software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration
• May require occasional travel to remote test events

Requirements

• Bachelor’s degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science
• 4+ years of experience in software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software
• Experience developing modular, maintainable, production-quality autonomy software
• Experience developing using C/C++, Python, and (optional but desired) relevant memory-safe languages
• Experience with and/or understanding of modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD, Conan, SonarQube, automated test methodologies, etc.)
• Desired: Familiarity with DoD or other common robotics and datalink architecture standards (e.g. OMS/UCI, A-GRA, WOSA, FACE, DDS, ROS, STANAG 4586, J-Series, AFSIM, etc.)
• Desired: Familiarity with AI robotic navigation and decision algorithms - path planning (A*, RRT), schedule optimization (Simulated Annealing, Genetic Algorithms, Tabu Search), distributed coordination algorithms
• Familiarity with Linux-based development environments is highly desired
• Must be able to effectively communicate orally and possess technical writing skills
• Strong collaboration skills in multi-disciplinary autonomy, vehicle systems, and systems engineering teams
• Must be able to work effectively as part of an integration-focused development team
• Must be able to obtain and maintain a United States DOD Security Clearance

Core Competencies

Demonstrates expertise in developing advanced software for multi-vehicle autonomy, with a strong focus on AI/ML applications in autonomous flight systems. Proficient in modular software design, integration, and collaboration within multi-disciplinary teams, while effectively communicating technical results.

Highest-signal resume keywords

• C/C++ Development
• Python Programming
• AI/ML for Robotics
• Agile Software Development
• DOD Security Clearance

ATS Optimization Keywords

Hard Skills

• Software Development
• Autonomy Software Systems
• Robot Planning Techniques
• Machine Learning
• Production-Quality Software
• Modular Software Design
• Path Planning Algorithms
• Schedule Optimization Algorithms
• Linux Development Environments
• Automated Testing Methodologies

Soft Skills

• Effective Communication
• Collaboration Skills
• Technical Writing

Industry Keywords

• Autonomous Uncrewed Systems
• Robotics Standards
• Datalink Architecture
• Multi-Vehicle Autonomy
• Integration-Focused Development

Tools & Technologies

• Git/Gitlab/Github
• Confluence
• Jira
• CI/CD
• SonarQube
• Conan