EnerSys
Senior Controls & Robotics Engineer
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Senior Controls and Robotics Engineer – Reading, PA (Remote裁會以受職場地)
About EnerSys
EnerSys is a global leader in stored energy solutions for industrial applications, operating over 30 manufacturing and assembly plants worldwide. Serving 10,000+ customers across 100+ countries, the company designs motive power and energy systems with integrated services and systems. With over 100 years of battery experience and sales/service locations globally, EnerSys delivers full-power stored DC energy solutions.
Take the next step in your engineering career. Join EnerSys
Job Purpose
Reporting to the Site Engineering Manager, the Senior Controls and Robotics Engineer will lead automation, controls, and electrical projects across the site. This role involves:
- Supporting production needs
- Driving continuous improvement initiatives
- Managing projects end-to-end (concept to completion) via collaboration with internal teams and external partners
Essential Duties & Responsibilities
Project & System Leadership
- Take full ownership of site automation and control projects, overseeing:
- Initial specification → design → implementation → commissioning → validation → final handover
- Serve as primary liaison for system commissioning and start-up with OEMs and integrators
- Ensure systematic documentation, training, and handover of all new installations and system changes
Technical Management
- Troubleshoot and manage:
- PLCs (Allen Bradley, Siemens S5/S7)
- HMIs, SCADA, robotics, vision systems
- VFDs, servo drives, fieldbus networks, and integrated control systems
- Develop custom PLC programs to:
- Improve process performance
- Enhance safety
- Diagnose and resolve PLC code issues, network faults, and electrical faults
- Ensure compliance with HSE standards for high-voltage systems
- Maintain up-to-date backups of all automation systems
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Team & Improvement Focus
- Lead continuous improvement projects targeting automation efficiency.
- Foster engineering and technician development through:
- Training
- Mentoring
- Competency assessments
Qualifications
Educational Requirements
- Degree in Automation, Electrical, or Electronic Engineering (BSc/BEng/MEng/HND)
Experience & Technical Proficiency
- Minimum 5 years in a similar role within a manufacturing environment
- Project management experience demonstrated
Core Technical Knowledge
| Technical Category | Key Requirements |
|---|---|
| PLC & Automation | Hands-on experience with Allen Bradley, Siemens S7, HMIs, SCADA, and protocols such as Profibus, Profinet, Ethernet/IP |
| Robotics & Motion | Experience in robotics programming, servo drives, and motion control |
| Vision Systems & Safety | Familiarity with vision systems and safety equipment (e.g., Pilz) |
| Electrical & HV | Deep understanding of high-voltage systems, three-phase networks, and electrical schematics |
| Documentation & Collaboration | Ability to read, update, and manage technical schematics; API/database basics (SQL) |
| IT Infrastructure | Basic knowledge of networking and server architecture |
| Project Tools | Experience with industry-standard project management methodologies |
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Skills & Competencies
Technical
- Advanced problem-solving and troubleshooting for automation/control systems
- Diagnostic expertise in PLC logic, fieldbuses, and electrical infrastructure
Organisational
- Ability to manage multiple high-priority projects in a fast-paced manufacturing environment
- Strong prioritisation and organisational skills for cross-functional alignment
Soft Skills
- Clear communication: Translating complex systems to engineers, management, and non-technical stakeholders
- Leadership and mentoring expertise for training junior engineers and technicians
- Integrity and confidentiality in all interactions and reporting
Equal Opportunity Statement
EnerSys provides equal employment opportunities without regard to race, colour, religion, age, sex, national origin, disability, genetics, military/veteran status, sexual orientation, gender identity, or other protected characteristics.
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Note: Generative AI may be used for initial application filtering, ranking, and evaluation of technical responses.
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