Design Engineering Data Specialist – Electrical

Comrise is seeking a Design Engineering Data Specialist – Electrical to support data-driven solutions for electrical and electronic engineering systems. The role develops and validates engineering data and documentation, automates design tasks, and supports structured datasets for AI training and engineering applications.

Responsibilities:

• Develop technical requirements, data standards, and annotation guidelines for capturing electrical engineering design intent, connectivity, constraints, and design rationale
• Review and validate electrical engineering data, including schematics, wiring diagrams, harness designs, component libraries, netlists, and electrical network models
• Analyze and document design changes across versions, including modifications to electrical schematics, wiring harnesses, network topologies, component selections, and design parameters
• Use Python, scripting languages, and engineering tool APIs to automate design tasks, validate engineering data, and generate synthetic design variations for AI training datasets
• Identify inconsistencies, gaps, and quality issues in engineering datasets to ensure accuracy and alignment with real-world electrical design requirements
• Collaborate with engineering and data teams to improve data quality, support engineering automation, and enable AI-powered engineering applications

Requirements:

• Bachelor's or master's degree in Electrical Engineering, Electrical and Electronic Engineering, Electronics Engineering, Mechatronics Engineering, or a related field
• At least 5 years of hands-on electrical and electronic design experience involving schematics, wiring, harnesses, connectors, electrical networks, layouts, or electrical system architecture
• Strong understanding of electrical design fundamentals, including circuit connectivity, power and signal distribution, grounding, shielding, protection concepts, wire and cable selection, connector systems, and design for manufacturing
• Hands-on experience with electrical design and harness engineering software such as Siemens Capital, EPLAN, Zuken, or comparable tools
• Proficiency in Python or a comparable scripting language for engineering automation, data validation, or generating design variations
• Knowledge of power grids and electrical networks, including network topology, load flow concepts, protection and distribution systems, grounding, power quality, and electrical system constraints
• Familiarity with PCB-level electronics design, schematic capture, component selection, signal integrity, power integrity, and PCB layout considerations
• Experience with engineering data structures, design ontologies, knowledge representation, or structured frameworks for documenting engineering design rationale
• Familiarity with cyber-physical systems, functional safety, electrical safety, or safety assurance modeling
• Knowledge of AI and machine learning applications in engineering data preparation, annotation, data quality evaluation, design automation, anomaly detection, or engineering recommendation systems
• Experience with electrical simulation tools such as Simcenter, MATLAB/Simulink, ETAP, PSCAD, AFS, SPICE-based tools, or comparable platforms
• Understanding of electrical system architecture, requirements traceability, interface definitions, and the interaction between hardware, software, and physical systems