Senior Software Engineer II - Modeling and Simulation

Scientific Systems Company, Inc.•Burlington, MA

4h•Hybrid

About The Position

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.

Requirements

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.).
Must be able to obtain and maintain a United States Secret Security Clearance.
This role may require occasional travel (10%) when necessary.

Nice To Haves

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.

Responsibilities

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.