Senior Software Engineer II - Modeling and Simulation

Scientific Systems Company, Inc.; New Jersey; Hybrid; USD 142,000 - 180,000; Full time

Benefits offered by this job

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

Free Food & Snacks

Wellness Resources

Stock Option Plan

Job summary

A leading technology firm in New Jersey seeks a Senior Software Engineer II to design and develop advanced modeling and simulation infrastructure for AI/autonomy systems. Candidates must have a bachelor’s degree in Engineering or related fields and 5+ years of experience with C++, Python, and autonomy software technologies. The position requires the ability to obtain a U.S. Secret Security Clearance. Benefits include a competitive salary of $142,000 - $180,000, hybrid work schedule, and comprehensive healthcare plan.

Qualifications

• 5+ years of related experience in the field.
• Experience developing new scenarios and models for simulation.
• Familiarity with high-performance compute infrastructure for simulation.

Responsibilities

• Develop advanced M+S infrastructure for operational environments.
• Design, implement, simulate, and test autonomy software systems.
• Present technical information and data to customers.

Skills

C++

Python

Machine Learning

Uncrewed multi-vehicle systems

Advanced Framework for Simulation

Agile methodologies

Education

Bachelor’s degree in Engineering, Computer Science, Data Science, Math, Statistics, Robotics or related subject

Tools

Git/Gitlab/Github

Confluence

Jira

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.

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.
• 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
• Stock Option Plan