• Designing, developing, and maintaining moderately complex automated test scripts • Collaborates with cross-functional teams to ensure effective execution of quality assurance strategies • Execute moderately complex automated test cases and report results • Identify, document and track software defects using defect tracking tools like JIRA • Provide strong documentation for test cases, test results, and defects • Collaborate with the software engineering team to gain understanding of application functionality and testing requirements • Maintain and update moderately complex, existing automated test scripts • Ensure that automated tests are up-to-date with the latest application changes • Follow and make recommendations regarding automation best practices • Provide guidance to associate automation quality engineers • May be required to do manual testing when needed

• Own & execute task from different workstreams such as PLM, Jira, Smartsheet, ELM, Smart Plant Instrumentation (SPI) that relates to BWRX-300 SMR instrumentation design engineering • Responsible for developing innovative engineering solutions for BWRX-300 SMR process instrumentation and meeting customer’s Critical-to-Quality (CTQ) requirements and GE Vernova’s design guidelines • Develop detailed instrumentation schematic, wiring and cable block arrangement drawings/BOM to support process or mechanical system upgrade or modifications anticipated on a project • Interpret the scope of the project and develop or review instrument datasheets, piping & instrumentation diagrams (P&ID) and instrumentation racks list, deploying I&C design principles to improve the overall system performance • Contribute to quarterly, semi-annual and annual team priorities and initiatives

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous energy engineering problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous energy engineering problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.