About this opportunity
Scientific Systems lists this Senior Software Engineer I - Autonomy Software opportunity in burlington, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
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
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
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: $128,000 - $154,000 (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
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Worksite address
burlington, MA, 01805, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.