Lead Engineer- Advanced Computational Methods for Power Systems

Eaton\u2019s CTO Corporate Technology Office division is currently seeking a Lead Engineer- Advanced Computational Methods for Power Systems. This position can be based at the Eaton Research Lab in Golden, CO, Menomonee Falls, WI or Southfield, MI. Relocation assistance will be provided for candidates within the hiring country.\n\nThe expected annual salary range for this role is $105000 - $154000 a year. \n\nPlease note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. \n\n## What you\u2019ll do:\n\nIn this role, you will help shape the future of energy systems by developing advanced computational methods and exploring emerging technologies like quantum-inspired algorithms and machine learning to improve grid resilience and efficiency. Working with cloud-based platforms and collaborating with partners using cutting-edge quantum hardware, you\u2019ll lead projects that bridge innovation and practical impact for sustainable power solutions. \n\nThe ERL is a corporate R\u0026D function within Eaton\u0027s Chief Technology Office, responsible for innovative and breakthrough technology development and commercialization for Eaton products and service solutions. This position will lead the R\u0026D of advanced computing techniques to enhance energy resilience for the electric grid and connected energy systems. The Lead Engineer will report to Technology Manager and help identify key technical gaps and influence technology roadmap for Eaton\u2019s products and services. This work will help businesses across Eaton solve critical business problems and uncover new business opportunities.\n\nIn this role you will: \n\u2022 Serve as a technical contributor and/or lead in technology development and demonstration. \n\u2022 Serve as an individual contributor and subject matter expert in government and non-government proposal development and/or project execution related to all aspects of advanced computation environment. \n\u2022 Lead development of advanced computational methods to improve energy resilience and support the transition to sustainable power systems. \n\u2022 Design and integrate quantum-inspired algorithms for energy systems applications like contingency analysis, leveraging cloud-based workflows and partner quantum platforms. \n\u2022 Build and deploy machine learning solutions to enhance reliability and reduce errors in emerging quantum technologies. \n\u2022 Collaborate with internal teams and external partners to validate solutions across diverse hardware and cloud environments. \n\u2022 Define and track performance metrics to ensure solutions meet technical and operational goals. \n\u2022 Investigate, integrate, and validate new product designs abiding by time-based milestones. Engage multiple business stakeholders, cross-functional teams, National labs, Universities, and Customers. \n\u2022 Innovate, invent, and challenge state-of-art design \u0026 process by securing critical intellectual properties through patents and publications in reputable peer-reviewed journals.\n\n## Qualifications:\n\nRequired (Basic) Qualifications:\n\n * PhD degree or PhD candidate within 6 months to graduation in Electrical Engineering, Computer Science, or related field from an accredited institution, OR\n * Master\u2019s degree in Electrical Engineering, Computer Science, or related field from an accredited institution plus 3 years of industrial experience, OR\n * Bachelor\u2019s degree in Electrical Engineering, Computer Science, or related field from an accredited institution plus 5 years of industrial experience.\n\n\n\n\u2022 Candidates should have experience in advanced computational methods for power systems including quantum-inspired algorithms and/or high-performance computing (HPC). \n\u2022 Proficiency in Python and MATLAB for algorithm development is essential, along with familiarity with machine learning frameworks such as PyTorch or TensorFlow. \n\n\u2022 Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.\n\nPreferred Qualifications \n\u2022 Ideal candidates will bring experience with quantum computing concepts, including quantum-inspired algorithms, quantum error correction (QEC) codes and hybrid algorithm strategies, or demonstrate some backgrounds and a strong willingness to learn these areas. \n\u2022 Practical knowledge of quantum error mitigation (QEM) techniques and hybrid simulation workflows is highly valued. \n\n\u2022 Experience with cloud platforms, preferably Google Cloud, for scalable compute and containerization tools like Docker or Kubernetes is required. \n\u2022 Familiarity with quantum hardware platforms such as IBM Heron or Infleqtion Sqale is a plus, as is exposure to combinatorial optimization problems on such platforms. \n\u2022 Knowledge of containerization and CI/CD practices for cloud-based workflows will be advantageous. \n\u2022 Additional strengths include experience with real-time simulations, hardware-in-the-loop platforms, and advanced numerical methods for energy systems. \n\u2022 Candidates who are adaptable, eager to learn emerging technologies, and capable of bridging theory with practical implementation will thrive in this role.\n\n## Skills:\n\nPosition Criteria \n\u2022 Collaborative orientation. The ability to succeed in a highly team-oriented environment. \n\u2022 Ability coach and develop a team. \n\u2022 Ability to drive inclusion and diversity culture. \n\u2022 Self-motivated and goal-oriented individual. \n\u2022 Excellent written and verbal communication skills in dealing with management, employees, customers, and suppliers. Senior management level communication and presentation skills. \n\u2022 Business acumen with proven record of formulating value proposition. Able to identify strong business alignment with the government funding opportunity. \n\u2022 Active leadership in a technical or industry event/group.\n\n#LI-LD1\n\nThe application window for this position is anticipated to close on 4/16/26\n\nWe are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant\u0027s race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.\n\nEaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.\n\nYou do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.\n\nTo request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.\n\nWe know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.\n