Senior Software Engineer II - Modeling and Simulation - Autonomy Systems
The Senior Software Engineer II position in AI/Autonomy systems development will emphasize modeling/simulation (M+S) and software testing of complex autonomy systems in operationally realistic scenarios. The successful applicant will be responsible for developing and supporting advanced M+S infrastructure for testing and evaluation of AI/Autonomy-enabled systems in multiple domains.
Essential Functions:
- Develop advanced M+S infrastructure, and support testing of multi-vehicle autonomy for operational environments.
- Provide relevant technical expertise as part of a team to design, implement, simulate, and test autonomy software systems for uncrewed, multi-vehicle autonomy systems.
- Support presentation of technical information and data to internal and external customers.
- This role may require occasional travel (10%) when necessary.
- Must be able to obtain and maintain a United States Secret Security Clearance.
Requirements
Basic Qualifications:
- Bachelor’s degree (or higher) in Engineering, Computer Science, Data Science, Math, Statistics, Robotics or related subject area and 5+ years of related experience.
- Experience in Advanced Framework for Simulation, Integration and Modeling environment including developing new scenarios and models; C++ plugins to AFSIM; interfaces to JSE; and configuration-managed large-scale simulation test data.
- Prior experience in model-in-the-loop (MIL), software-in-the-loop (SIL), digital twin and/or LVC testing of advanced AI/autonomy software technologies.
- Experience with C/C++, Python, and relevant high-performance compute (HPC) infrastructure used for large-scale, distributed simulation (DIS) environments.
- Experience working with software technologies for Robotics, Machine Learning, and/or Multi-agent AI/Autonomy Systems.
- Experience with modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD and automated test methodologies, etc.).
Preferred Qualifications:
- Established history of successfully leading small-team implementation of advanced AI/Autonomy software technologies and effective technical communications.
- Working knowledge of USG DoD mission data systems and datalink architectures, such as JSE, OMS, UMAA, FACE, DDS, ROS, STANAG 4586, J-Series.
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
Skills Required
- Bachelor's degree in Engineering, Computer Science, Data Science, Math, Statistics, Robotics or related field and 5+ years related experience
- Experience in Advanced Framework for Simulation, Integration and Modeling (AFSIM) environment including developing scenarios, C++ plugins to AFSIM, interfaces to JSE, and configuration-managed large-scale simulation test data
- Prior experience in model-in-the-loop (MIL), software-in-the-loop (SIL), digital twin and/or LVC testing of AI/autonomy software
- Experience with C/C++ and Python and high-performance compute (HPC) infrastructure for large-scale distributed simulation (DIS) environments
- Experience with robotics, machine learning, and/or multi-agent AI/autonomy systems
- Experience with modern software development toolchains and processes (Agile, git/GitLab/GitHub, Confluence/Jira, CI/CD, automated testing)
- Ability to obtain and maintain a United States Secret security clearance
- Occasional travel (approximately 10%)
- Proven history of leading small teams implementing advanced AI/autonomy software technologies
- Working knowledge of USG/DoD mission data systems and datalink architectures (JSE, OMS, UMAA, FACE, DDS, ROS, STANAG 4586, J-Series)
What We Do
Architects of Autonomy Noted technologies such as autonomy, artificial intelligence, machine learning and computer vision are rightfully touted for their enabling potential for national defense and scientific exploration. At Scientific Systems, we develop and holistically connect these technologies together to provide disruptive, offsetting capabilities for unmanned systems, enabling them to make intelligent decisions and collaborate across the domains of space, air, land, and sea. We’ve spent the past 40 years pioneering innovations, including advancements in mission autonomy, for all branches of the U.S. military, DARPA, NASA and more.
