GE Vernova—Engineer 1 - Embedded SW Quality Test

Job description

Description: Job Description Summary This position is part of the R&D Validation and Verification (V&V) team. The R&D team is responsible for designing, implementing, and testing embedded software for protection and control applications, primarily in the electrical distribution and transmission industry. The role also includes the application of Artificial Intelligence (AI), Generative AI, and Agentic AI to enhance R&D V&V activities, including intelligent test automation, automated test-case generation, test-result analysis, anomaly detection, troubleshooting, and continuous improvement of verification and validation processes. Job Description - Define and implement comprehensive Verification & Validation (V&V) strategies, test plans, and frameworks for power-system, protection, control, embedded software, and industrial communication products. - Review system requirements, communication specifications, use cases, interfaces, and architecture to establish complete test coverage, traceability, and validation criteria. - Design and execute system-level, integration, communication, functional, regression, interoperability, performance, robustness, and negative testing. - Develop and maintain Python-based automated test frameworks, communication simulators, protocol test tools, and test infrastructure. - Plan and execute validation of industrial communication protocols including IEC 61850, DNP3, Modbus, IEC 60870-5-104 (T104), T103, T101, TCP/IP, Ethernet, and Serial communication. - Perform communication interoperability and integration testing between IEDs, protection relays, RTUs, SCADA systems, gateways, PLCs, control systems, and substation automation systems. - Validate communication functions including data exchange, command/control, time synchronization, event reporting, configuration, fault handling, timeout, recovery, redundancy, and performance. - Develop Python-based tools for protocol message generation, packet analysis, device simulation, communication monitoring, automated validation, and fault injection. - Analyze communication traces, network packets, relay event records, system logs, and test results to identify communication and system-level issues. - Troubleshoot complex communication, embedded software, firmware, and system-integration issues and perform structured root-cause analysis. - Work closely with Power Systems, Protection, Hardware, Firmware, Software, Systems Engineering, and Continuous Engineering teams to resolve defects and improve product reliability. - Validate Protection & Control systems for generators, transmission lines, transformers, motors, busbars, substations, and digital control applications. - Test protection schemes including Overcurrent/Earth Fault, Differential, Distance, Generator, Motor, Transformer, and Busbar protection. - Validate protection relays, IEDs, RTUs, SCADA interfaces, digital control systems, gateways, and embedded software/firmware. - Apply AI, Generative AI, Machine Learning, and Agentic AI to communication and V&V activities. - Develop AI Agents that can analyze communication requirements, generate test scenarios, orchestrate approved test workflows, analyze protocol logs, detect anomalies, classify failures, and assist with root-cause analysis. - Develop Agentic AI-based communication testing solutions capable of interacting with approved testing tools, simulators, protocol analyzers, and V&V infrastructure. - Apply AI-assisted analysis to IEC 61850, DNP3, Modbus, T104, TCP/IP, Ethernet, and serial communication logs and traces to accelerate troubleshooting and defect identification. - Implement intelligent workflows for automated test-case generation, regression-test optimization, communication anomaly detection, test-result analysis, and automated V&V reporting. - Ensure AI/Agentic AI-based testing remains traceable, explainable, repeatable, deterministic where required, and subject to engineering validation and human approval. - Establish and maintain CI/CT-based automated V&V pipelines for continuous communication and system testing. - Use JIRA, Xray, Confluence, Git, and other engineering tools for requirements traceability, test management, defect tracking, documentation, and configuration management. - Continuously improve communication testing methodologies, automation frameworks, AI-assisted V&V capabilities, test coverage, and product reliability. Required Qualifications - Bachelor’s or Master’s Degree in Electrical Engineering, Electronics Engineering, Computer Science, Communication Engineering, Instrumentation, or Power Systems Engineering. - Minimum 3+ years of experience in communication testing, system V&V, embedded software/firmware testing, automation, or R&D engineering. - Strong Python programming skills for automation, scripting, protocol testing, data analysis, and tool integration. - Strong understanding of industrial communication, power-system automation, protection, control, and embedded systems. - Hands-on knowledge of: - IEC 61850 - DNP3 - Modbus - IEC 60870-5-104 (T104) - T103 - T101 - TCP/IP - Ethernet - Serial communication - Experience with communication troubleshooting, protocol analysis, packet capture, message decoding, interoperability testing, and network diagnostics. - Experience with AI/ML, Generative AI, LLMs, and Agentic AI applied to testing, automation, communication analysis, or engineering workflows. - Understanding of AI Agent architecture, tool/function calling, RAG, APIs, Python-based AI automation, and intelligent workflow orchestration is desirable. Power System & Protection Knowledge - Understanding of electrical distribution and transmission systems. - Knowledge of Protection & Control systems for generators, transmission lines, transformers, motors, busbars, and substations. - Knowledge of IEC and ANSI standards related to protection, control, automation, and communication. - Understanding of CT/VT calculations and protection relay settings is advantageous. - Experience with ABB, Siemens, SEL, and other major relay manufacturers is an advantage. AI & Agentic Communication Engineering - Develop intelligent communication-testing agents capable of: - Analyzing communication requirements - Generating protocol test scenarios - Creating test data - Executing approved test workflows - Monitoring communication traffic - Analyzing protocol logs - Detecting communication anomalies - Identifying failure patterns - Supporting root-cause analysis - Generating automated test reports - Combine Agentic AI + Python + industrial protocols + power-system domain knowledge to create next-generation automated communication V&V solutions. - Apply human-in-the-loop controls and engineering validation for AI-driven decisions in safety- and reliability-critical power-system applications. Tools & Processes - Python, Git, JIRA, Xray, Confluence - Protocol analyzers and network diagnostic tools - Automated test frameworks and simulators - CI/CD and Continuous Testing - SDLC, STLC, V-Model, Agile/SAFe - White-box, black-box, system, integration, regression, interoperability, and performance testing Desired Characteristics - Strong analytical and troubleshooting skills in industrial communication and embedded systems. - Ability to bridge communication engineering, power systems, protection & control, software automation, and Agentic AI. - Strong problem-solving skills and ability to work independently. - Excellent collaboration and communication skills across multidisciplinary R&D teams. - Strong interest in applying AI Agents and intelligent automation to next-generation power-system communication and V&V. Additional Information Relocation Assistance Provided: Yes