Multidisciplinary Systems Engineer (Mechanical/Software)

WGS SYSTEMS LLC

11d

About The Position

WGS Systems, a leading innovator in communications and defense industries, is looking to expand our technical team. We are seeking an early-career multidisciplinary engineer to support product development across mechanical design, analysis, and software integration. This hybrid role offers unique exposure to both hardware and software disciplines, ideal for someone who enjoys variety and wants to build broad systems engineering capabilities in the defense/aerospace sector. You'll contribute approximately 50-60% of your time to mechanical engineering tasks (CAD design, structural analysis, thermal management, packaging) and 40-50% to software development (embedded systems, test automation, data pipeline development, and analytics infrastructure support). You'll work at the intersection of sensor hardware and data science, ensuring our sensors collect high-quality data and integrate seamlessly with our analytics platform that fuses proprietary and commercial intelligence data. As our product portfolio grows, this role will evolve with your interests and company needs. This position is perfect for someone who doesn't want to be pigeonholed into a single discipline and thrives in a fast-paced, hands-on engineering environment where you'll see your work go from concept to fielded system.

Requirements

Bachelor's degree in Mechanical Engineering, Mechatronics, Robotics, Aerospace Engineering, or related field
2-5 years of professional experience in product development, preferably in defense, aerospace, or electronics
U.S. Citizen (required for contract work; ability to obtain USG security clearance
Proficiency in CAD software (SolidWorks, CREO, or similar) with experience designing mechanical assemblies for electronics products
Working knowledge of FEA tools (ANSYS, COMSOL, or SolidWorks Simulation) for structural/thermal analysis
Strong programming skills in Python (required); familiarity with MATLAB, C/C++, or LabVIEW
Hands-on experience with prototyping, fabrication methods, and working with machine shops
Understanding of mechanical testing methods (vibration, shock, thermal cycling)
Excellent problem-solving skills with ability to work independently on multiple projects

Nice To Haves

Active Secret or higher clearance
Experience with embedded systems development (Linux, microcontrollers, RTOS)
Familiarity with RF system packaging, thermal management for high-power electronics, or sensor integration
Knowledge of defense/aerospace standards: MIL-STD-810 (environmental testing), AS9100 (quality), DO-160 (airborne equipment)
Experience with Git/version control
Background in mechatronics, robotics, or electromechanical systems
Exposure to manufacturing processes: CNC machining, 3D printing, sheet metal fabrication
Familiarity with cloud platforms (AWS, GCP) and containerization (Docker) for deploying data processing services
Prior work in startup or small team environments where you wore multiple hats

Responsibilities

Design mechanical assemblies, enclosures, and mounting solutions for sensor systems using CAD (SolidWorks/CREO preferred)
Perform structural, thermal, and vibration analysis to ensure designs meet environmental requirements (MIL-STD-810, DO-160)
Support prototyping, fabrication coordination, and design for manufacturability (DFM) with machine shops and vendors
Conduct mechanical testing and validation; document results for design verification
Create and maintain engineering drawings, BOMs, and technical documentation per AS9100 standards
Collaborate on packaging solutions for RF systems, thermal management for electronics, and integration with existing platforms
Develop test automation scripts and data acquisition software for hardware validation and sensor characterization (Python, MATLAB)
Write embedded software for sensor control, data logging, and system configuration (C/C++, Linux)
Build data pipelines and ETL processes to ingest sensor data into analytics infrastructure; support integration with commercial datasets
Develop preprocessing and feature extraction algorithms for raw sensor data to support ML model development
Create APIs and data interfaces between sensor systems and analytics platforms; ensure data quality and formatting standards
Develop GUIs and user interfaces for sensor configuration, system monitoring, and data visualization
Support software integration with customer platforms; troubleshoot hardware-software interface issues
Contribute to version control practices, automated testing, and documentation for software deliverables
Work closely with electrical engineers, data scientists, and senior systems engineers to integrate mechanical and software subsystems
Partner with data science team to ensure sensor data collection meets analytics requirements; implement data quality checks and validation
Support development of data infrastructure for model training, including data storage, versioning, and retrieval systems
Support Factory Acceptance Testing (FAT), customer demonstrations, and field testing activities
Participate in design reviews, failure analysis, and continuous product improvement initiatives