Senior Systems Engineer II

Scientific Systems Company, Inc.

New Jersey

Hybrid

USD 139,000 - 172,000

Full time

11 days ago

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Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Vision)

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

AD&D)

Paid Time Off (Vacation, Sick &

Public Holidays)

Family Leave (Maternity, Paternity)

Short Term Disability

Long Term Disability

Training & Development

Hybrid Work Schedule

Free Food & Snacks

Wellness Resources

Employee Stock Ownership Plan

Job summary

Scientific Systems Company, Inc. in the United States seeks a Senior Systems Engineer focused on Autonomous Vehicles and Uncrewed Systems.

You will develop MBSE-based architecture models for autonomous and crewed-uncrewed collaboration, using Cameo/MagicDraw, AFSIM and related tools. The role emphasizes system-level integration, requirements, interfaces, and performance metrics, with frequent customer liaison and a possibility of travel up to 15%.

Qualifications

Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science or related field and 5+ years of progressive systems engineering experience.
Experience with the development, integration, and test of autonomous systems.
Experience with model-based systems engineering (MBSE) and formal tools for SysML.
Experience with modeling and simulation (M&S) and formal tools for simulation and analysis, such as AFSIM.

Responsibilities

Significantly support system design reviews for Autonomy Systems and develop interfaces and viewpoints per customer standards such as DoDAF.
Perform system-level integration and test to ensure Autonomy Systems meet requirements.
Define and document system requirements, interfaces, and performance metrics.
Lead autonomy architecture development and act as customer-facing liaison for architectural developments.
Perform system-level modeling and simulation using digital models and tools to quantify system effectiveness.
Support proposals by performing M&S, data analysis and contributing content sections.
Apply MBSE methodologies using tools like Cameo/MagicDraw to create and maintain system models with traceability.
Conduct system analysis and design activities to support Autonomy System Architectures, models, data, and interfaces.

Skills

MBSE

SysML

Cameo/MagicDraw

AFSIM

Model-based Systems Engineering

System architecture

Requirements analysis

Leadership

Team collaboration

Education

Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science or related fields

Master's degree

Tools

Cameo/MagicDraw

AFSIM

Job description

Scientific Systems Products Division is looking to fill a Senior Systems Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems. The successful applicant will be responsible for developing architecture models relating to autonomous systems and crewed-uncrewed collaboration using Model Base Systems Engineering (MBSE) methods and tools.

Scientific Systems Company, Inc. (www.ssci.com) is a leading developer of advanced technologies for navigation, mission planning and autonomy for the Aerospace and Defense industries. Founded in 1990 and based in Burlington, MA, Scientific Systems Company Inc. (SSCI) invents disruptive technologies, develops revolutionary solutions, and builds trusted products for our customers’ most challenging missions. SSCI focuses on the creation of AI/ML enabled capabilities to command, control, communicate with, and manage composable collections of intelligent agents, smart sensors, and autonomous platforms across all domains.

Essential Functions:

Significantly support system design reviews (SRR/PDR/CDR/TRR) for Autonomy Systems, develop interfaces (IDDs, ICDs) and operational/system/data viewpoints, in alignment with customer standards such as DoDAF.
Perform system-level integration and test activities to ensure the Autonomy Systems meet or exceeds functional and performance system requirements.
Define and document system requirements, interfaces, and performance metrics.
Lead autonomy architecture development efforts and act as a primary customer-facing liaison for all architectural developments.
Perform system-level modeling and simulation (M&S) and analyses using digital models and analysis tools, such as AFSIM, to quantify the utility or effectiveness of an autonomy system.
Support proposal activities by performing M&S, technical data analysis and creating/ revising assigned technical content sections as needed.
Apply Model-Based Systems Engineering (MBSE) methodologies, using tools such as Cameo/MagicDraw, to create and maintain system models, ensuring clarity and traceability.
Perform system analysis, such as requirements analyses, and design activities to support the development of Autonomy System Architectures, models, data, and interfaces.
Develop working knowledge of Aerospace and DoD Systems Engineering Management, and relevant customer or industry processes, such as DoD 5000.
This position requires the ability to sit or stand at a desk and work on a computer for prolonged periods of time.
May require the ability to push/pull/lift up to 15 pounds
This role may require travel when necessary. Approximately 15%
Must be able to obtain and maintain an active US DOD Security Clearance.

Basic Qualifications:

Bachelors’ of Science degree in Systems Engineering, Electrical Engineering, Computer Science or related fields, or equivalent experienceand 5+ years of progressive systems engineering experience in a related industry.
Experience with the development, integration, and test of autonomous systems.
Experience with model-based systems engineering (MBSE) and formal tools for SysML.
Experience with modeling and simulation (M&S) and formal tools for simulation and analysis, such as AFSIM.

Preferred Qualifications:

Master’s of Science degree or PhD
Proficient in Microsoft Office suite, CAD, AutoCAD, AFSIM, and tools such as Cameo/MagicDraw
Demonstrated ability to work effectively as part of a team
Excellent verbal and written communication skills
Ability to identify and creatively solve complex problems
Ability to execute logical reasoning and decision-making skills