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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Power Systems Engineer - **Company:** Oracle - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $114,600.0 - $234,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Data Centers, Real-Time Operating Systems, Systems Architecture, Systems Integration, Reliability of Systems, Dynamic Data - **Published:** September 11, 2026 - **Apply:** https://dejobs.org/x/x/870E9B46E95548D1A4FC3911AFA6F062/job/ ## About the Role The ideal candidate has strong power-systems engineering experience, particularly in utility interconnection, substations, energy storage, on-site generation, and large-load infrastructure., * 10+ years of experience in power systems engineering, utility infrastructure, generation, transmission and distribution, energy storage, or mission-critical infrastructure. * Strong technical knowledge of utility interconnections, substations, protection and controls, power-system studies, and large electrical loads. * Experience developing, analyzing, or integrating BESS, on-site generation, microgrids, load-management, or other behind-the-meter power solutions. * Understanding of utility planning, grid constraints, interconnection processes, and large-load customer requirements. * Experience using power-system modeling tools such as PSCAD, ETAP, SKM, EMTP, or equivalent platforms. * Ability to conduct engineering analyses, develop technical requirements, and communicate findings clearly to technical and non-technical stakeholders. * Ability to work independently on complex engineering problems while collaborating across multidisciplinary project teams. ## Description Power Systems Engineering * Develop and assess power-system architectures for utility supply, substations, energy storage, load management, on-site generation, and campus electrical interfaces. * Produce technical requirements, design criteria, calculations, specifications, and engineering recommendations for site-specific and repeatable fleet solutions. * Apply established engineering standards and contribute to the development of global design philosophies, modeling methods, technical acceptance criteria, and validation practices. * Identify technical risks, constraints, and opportunities affecting capacity, schedule, resiliency, operability, and future campus expansion. * Translate complex grid and power-system issues into clear technical recommendations for project and business stakeholders. Utility Interconnection and Grid Engineering * Perform technical evaluations of utility capacity, transmission and distribution infrastructure, substations, reliability, power quality, fault duty, and expansion requirements. * Support engagement with utilities, transmission providers, ISOs/RTOs, developers, and engineering partners on interconnection and power-delivery solutions. * Define and review requirements for interconnection facilities, substations, protection and controls, grounding, and campus electrical interfaces. * Evaluate alternatives that may accelerate energization, reduce delivery risk, or unlock additional capacity. * Provide technical analyses and engineering support to Energy Contracting during utility negotiations and commercial discussions. Early Site Power Engineering * Conduct power-system due diligence for prospective data-center sites. * Develop conceptual power architectures and compare utility and behind-the-meter alternatives during site selection and early development. * Assess interconnection complexity, infrastructure lead times, system reliability, power quality, and long-term expansion potential. * Partner with Real Estate, Site Development, Capacity Planning, and Energy Contracting to incorporate power feasibility into site and investment decisions. Energy Storage, Load Management, and On-Site Generation * Develop engineering analyses and technical requirements for battery energy storage systems, including sizing, controls, protection, operating modes, safety, degradation, and lifecycle performance. * Evaluate BESS use cases including resiliency, grid support, load management, transient response, and capacity optimization. * Analyze load-curtailment, demand-response, flexible-load, ramp-rate-management, and peak-reduction opportunities with utilities. * Develop and assess architectures coordinating utility supply, data-center load, BESS, UPS systems, and on-site generation. * Support engineering of natural-gas generation, fuel cells, microgrids, renewable generation, and emerging power technologies. * Evaluate generation configuration, synchronization, protection, controls, grounding, black-start capability, islanding, fuel supply, emissions constraints, and maintainability. Modeling, Analysis, Testing, and Validation * Perform or coordinate load-flow, short-circuit, protection coordination, harmonic, transient, dynamic stability, grounding, and arc-flash studies. * Use PSCAD, ETAP, SKM, EMTP, or comparable tools to model interactions among utility systems, generation, BESS, UPS technologies, and dynamic data-center loads. * Develop models and analysis methods that account for evolving AI and high-performance-computing load characteristics. * Support First-of-a-Kind qualification plans, including factory, laboratory, and site testing for power-system technologies. * Define test scenarios and acceptance criteria covering normal operations, transitions, failure modes, recovery, dynamic response, and system interactions. * Document results and recommend whether technologies are ready for broader fleet deployment. Technology and Partner Engagement * Evaluate emerging technologies that may improve power availability, resiliency, utilization, cost, or deployment speed. * Work with OEMs, utilities, laboratories, consultants, and engineering partners to resolve technical issues and improve proposed solutions. * Contribute technical input to technology qualification roadmaps and standardization efforts. * Support the transition of successful site-specific or FOAK solutions into repeatable engineering practices. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) - [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process) - [What makes Cybersecurity different for critical infrastructure?](https://www.wearedevelopers.com/videos/571-what-makes-cybersecurity-different-for-critical-infrastructure) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Data Science & more: The Lopez dilemma](https://www.wearedevelopers.com/magazine/10-data-science-more-the-lopez-dilemma)