Senior Software Engineer II - Autonomy Software

Scientific Systems; Burlington (MA); Hybrid; USD 142,000 - 180,000; Full time

Benefits offered by this job

Health Care Plan

Retirement Plan

Hybrid Work Schedule

Paid Time Off

Employee Stock Ownership Plan

Training & Development

Life Insurance

Free Food & Snacks

Job summary

Scientific Systems in Massachusetts seeks a Senior Software Engineer to develop software for autonomous flight systems and AI/ML programs supporting uncrewed and crewed collaboration.

You will architect and implement multi-vehicle autonomy software, integrate with existing architectures, and collaborate with cross-disciplinary teams; travel to test events may be required, and the role requires ability to obtain and maintain a U.S. DoD security clearance.

Qualifications

• BS degree or higher in a STEM field with strong math/engineering foundations.
• 5+ years in software R&D for AI in robotics or autonomous systems.
• Experience building modular, production-quality autonomy software.
• Proficiency in C/C++ and Python; memory-safe languages desired.

Responsibilities

• Architect and develop advanced software for multi-vehicle autonomy in contested environments.
• Collaborate on design, implementation, and testing of autonomy software for embedded systems.
• Present technical results to internal and external customers.
• Help integrate work into a unified software architecture.

Skills

C/C++

Python

AI for robotics

Robotics software dev

Multi-vehicle autonomy

Agile

Code review

Education

Bachelor's degree in STEM

Tools

Git/GitLab/GitHub

Confluence/Jira

CI/CD

Conan

SonarQube

Job 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