
Senior Software Engineer I - Autonomy Software
Scientific Systems
Visa & sponsorship
- A US security clearance is required, which effectively means citizens only.
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:
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Architect and develop advanced software for multi-vehicle autonomy for complex, contested environments
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Provide relevant technical expertise as part of a team to design, implement, and test autonomy software systems for embedded uncrewed multi-vehicle autonomy.
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Support presentation of technical results to internal and external customers
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Support integration of existing work into an unified software architecture
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This role may require occasional travel to remote test events
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Must be able to obtain and maintain a United States DOD Security Clearance
Requirements
Basic Qualifications:
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Bachelor's degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science
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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
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Experience developing modular, maintainable, production-quality autonomy software
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Experience developing using C/C++, Python, and (optional but desired) relevant memory-safe languages.
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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.)
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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)
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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:
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Familiarity with Linux-based development environments is highly desired
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Must be able to effectively communicate orally and possess technical writing skills
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Strong collaboration skills in multi-disciplinary autonomy, vehicle systems, and systems engineering teams
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Must be able to work effectively as part of an integration-focused development team
Benefits
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Salary: $128,000 - $154,000 (Depends on Experience)
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Health Care Plan (Medical, Dental & Vision)
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Retirement Plan (401k, IRA)
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Life Insurance (Basic, Voluntary & AD&D)
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Paid Time Off (Vacation, Sick & Public Holidays)
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Family Leave (Maternity, Paternity)
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Short Term & Long Term Disability
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Training & Development
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Hybrid Work Schedule
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Free Food & Snacks
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Wellness Resources
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Employee Stock Ownership Plan