Senior Software Engineer II - Autonomy Software
TLDR
Architect and test embedded autonomy software for uncrewed multi-vehicle systems in complex, contested environments using C/C++ and Python.
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
Benefits
Equity Compensation
Retirement Plan (401k, IRA)
Free Meals & Snacks
Free Food & Snacks
Health Insurance
Health Care Plan (Medical, Dental & Vision)
Learning Budget
Training & Development
Disability insurance
Short Term & Long Term Disability.
Paid Parental Leave
Family Leave (Maternity, Paternity)
Paid Time Off
Paid Time Off (Vacation, Sick & Public Holidays)
Remote-Friendly
Hybrid Work Schedule
Stock Options
Employee Stock Ownership Plan
Wellness Stipend
Wellness Resources
Scientific Systems Company, Inc. develops advanced technologies for navigation and mission planning tailored for the Aerospace and Defense sectors. We specialize in creating AI/ML-enabled solutions that command and manage intelligent agents, smart sensors, and autonomous platforms, addressing our clients' most complex operational challenges.