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Senior Software Engineer II - Modeling and Simulation - Autonomy Systems

Scientific Systems Company, Inc.

Burlington, MA · HybridJob$142–180K/yrSeen 7mo agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$142–180K/yr
Location
Burlington, MAHybrid
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Secret clearanceBachelor's degree

Job overview

The Senior Software Engineer II will develop and support advanced modeling and simulation infrastructure for testing autonomous, multi‑vehicle systems, design and implement simulation scenarios, and present technical data to customers, with occasional travel and a required U.S. Secret security clearance.

Skills & qualifications

RequiredNice to have

Skills

Advanced Modeling and Simulation FrameworkC++ Plugins to AFSIMJSE InterfacesConfiguration‑Managed Simulation Test DataModel‑in‑the‑Loop (MIL)Software‑in‑the‑Loop (SIL)Digital TwinLVC TestingC/C++PythonHigh‑Performance Compute (HPC) InfrastructureDistributed Simulation (DIS) EnvironmentsRoboticsMachine LearningMulti‑Agent AI/Autonomy SystemsAgile DevelopmentGit/Gitlab/GithubConfluence/JiraCI/CDAutomated Test Methodologies

Qualifications

Bachelor's Degree in Engineering, Computer Science, Data Science, Math, Statistics, Robotics or Related Field5+ Years of Related ExperienceUnited States Secret Security Clearance

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

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

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