Senior Software Engineer II - Autonomy Software

Location: Burlington, Massachusetts, United States

Department: CTO Autonomy Software Team

Workplace: hybrid

Employment Type: full

Description

Scientific Systems is looking to fill a Senior Software Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems. The successful applicant will be responsible for developing software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration.

Essential Functions:

• 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 an unified software architecture.
• This role may require occasional travel to remote test events.
• Must be able to obtain and maintain a United States DOD Security Clearance.

Requirements

Basic Qualifications:

• Bachelor’s degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science
• 5+ 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

Preferred Qualifications:

• 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.

Benefits

• Salary: $142,000 - $180,000 (Depends on Experience)
• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability.
• Training & Development
• Hybrid Work Schedule
• Free Food & Snacks
• Wellness Resources
• Employee Stock Ownership Plan