Sargent & Lundy is a trusted leader in nuclear engineering, design, and licensing. They are seeking a Lead Cyber Security Engineer to support the digital modernization of nuclear power plants by ensuring compliance with US nuclear cyber security rules and providing technical support for cyber security initiatives.
Responsibilities:
- Reviewing Critical Digital Asset (CDA) determinations and assessments for technical accuracy
- Addressing related plant corrective actions and notifications
- Confirming the configuration of devices installed at the site based on network diagrams and system documentation
- Supporting installation of software and hardware on plant digital systems
- Performing tasks for changing device settings to implement cyber security controls
- Performing technical supports requested by the Digital Engineering and Cyber Security supervisors
- Performing other tasks as related to Cyber Security
Requirements:
- BS degree in engineering from an ABET accredited program or equivalent professional experience
- A minimum of 10 years of experience in design engineering for process control systems and general understanding of Cyber Security topics and I&C Systems
- Demonstrated expertise in nuclear power cyber security
- Excellent verbal and written communication skills
- A basic understanding of cyber security, the concept of a cyber security operation center and knowledge of networks are essential
- Ability to respond and update, in a timely manner, to requests
- Experience in design engineering for nuclear power plant control systems is preferred
- PE license preferred, but not required
- Work experience in designing or implementing networks would be very helpful
- Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs, is valued but not required
- Additional learning, such as a minor, certificate, or other experience in Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables effective oversight of automation and agentic AI-enabled engineering workflows