Note: The job is a remote job and is open to candidates in USA. TekWissen is recruiting for an unnamed client, a global medical technology company. The Power Systems Design Data Specialist will define, evaluate, and structure power systems design data for AI training, while documenting design evolution and generating synthetic data aligned with engineering standards.
Responsibilities
- Data Protocol & Guideline Development: Author the "style guide" for power systems data collection. Define requirements for how bus configurations, protective device settings, cable schedules, equipment ratings, and system topology should be annotated — ensuring the AI learns valid power engineering reasoning including fault current propagation, voltage regulation, and protection coordination logic
- SLD & Protection Data Evaluation: Review and validate incoming power systems design data from tools such as ETAP, SKM/PowerTools, EasyPower, or CAPE. Assess single-line diagrams, protective device coordination studies, relay settings, and equipment schedules for completeness, internal consistency, and adherence to data collection guidelines
- Grid & System Modeling Review: Evaluate power flow models, short-circuit studies, and stability analyses sourced from tools like PSS/E, PSCAD, PowerWorld, or OpenDSS. Verify that network topology, impedance data, generation dispatch profiles, and contingency definitions are accurately captured and properly contextualized for training purposes
- Lifecycle Tracking: Analyze the evolution of power system designs across project phases — from conceptual SLDs through detailed engineering. Identify and document the rationale behind design changes: breaker upgrades driven by revised fault duty, transformer re-sizing due to load growth, protection scheme changes following arc flash re-studies, or bus reconfigurations triggered by reliability requirements
- Synthetic Data Generation: Script power system analysis tools or develop parametric models to generate diverse, valid power system configurations — varying system voltages, bus arrangements (single bus, double bus, ring bus, breaker-and-a-half), protection schemes, and loading scenarios to expand the training dataset
- Standards & Code Alignment: Ensure that collected data and annotations reflect applicable codes and standards (NEC, NESC, IEEE C37 series, IEEE 242/399/551, ANSI device numbering, IEC 61850, NERC reliability standards) so the model's learned behavior aligns with real-world engineering practice
Skills
- BS/MS in Electrical Engineering or Power Engineering, with coursework or demonstrated depth in power systems analysis
- 5+ years of experience in power systems design, analysis, or consulting — spanning at least two of: utility transmission/distribution, substation design, industrial/facility power, or generation interconnection
- Deep proficiency with commercial power systems analysis software (ETAP, SKM, or EasyPower required; PSS/E, PSCAD, PowerWorld, or CAPE strongly valued)
- Working fluency in protection coordination, short-circuit analysis, load flow, and arc flash studies — sufficient to evaluate whether a design is technically sound and to articulate why an engineer made a particular design choice
- Experience with Python or scripting to automate data extraction from power systems tools, parse relay setting files, or manipulate network models programmatically
- Experience with transmission-level planning or operations: familiarity with NERC standards (TPL, FAC, PRC), interconnection study processes, or bulk power system modeling in PSS/E or PowerWorld
- Familiarity with substation design practices: bus arrangements, relay panel design, control and protection schematics, IEC 61850 communications architecture
- Hands-on experience with protective relay configuration (SEL, GE/Alstom, ABB/Hitachi) at a level sufficient to interpret relay setting files and evaluate protection scheme logic
- Understanding of power quality phenomena (harmonics, voltage sag/swell, flicker) and associated modeling or measurement practices
- Familiarity with engineering ontologies, knowledge graphs, or structured reasoning frameworks — particularly as applied to infrastructure systems or engineering design rationale
- Experience with utility or industrial asset management systems (GIS, OMS/DMS, CMMS) and understanding of how design data flows into operational systems
- Professional Engineer (PE) license or EIT/FE certification
- The interaction between hardware, software, and physical systems
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