Lead Structural Engineer 1 - Nuclear

Sargent & Lundy•Minneapolis, MN

About The Position

This is a Project Lead Structural Engineer position that offers a variety of interesting and challenging opportunities in structural engineering and will provide an excellent opportunity to advance your career. In this position you will guide a team of structural engineers, interface with clients and engineers from other disciplines as well as manage a variety of exciting projects. You will apply your knowledge of materials, structural analysis, structural steel design, and reinforced concrete design in the successful execution of assigned tasks. You will work on a wide range of projects for various clients and interface with them as required. The role involves directing the preparation and review of design calculations, specifications, reports and other deliverables, and supporting designers with drawing development. You will supervise and mentor others in the development of quality engineering deliverables, and perform the structural analysis and design of steel frames, connections, concrete members, and foundations using state-of-the-art computer tools. Travel to client and vendor offices for design reviews and to plant site locations for construction coordination and field verification of designs is also required. You are expected to lead others in taking engineering problems from issue to solution by setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective designs. Leaders in these roles often direct automation and process-improvement work, for example, how teams automate calculations, summarize technical documents, or generate design documentation and guiding when and how AI or agentic AI tools are used while ensuring results are checked.

Requirements

BSCE with emphasis in Structural Engineering from an ABET-accredited program
Ten or more years of experience working as a member of a project team in the design and analysis of industrial / heavy commercial or nuclear facility structures
Proficiency with structural analysis software such as STAAD, SAP2000, SAFE, STRUDL, or ANSYS
Proficiency with design codes and standards such as ASCE 7, AISC, and ACI
Excellent written and verbal communication skills
Willing or able to lead others who use modern tools
Expected to lead others in taking engineering problems from issue to solution by setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective designs

Nice To Haves

MSCE degree
On-site construction support experience
PE or SE license
Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs
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

Responsibilities

Guide a team of structural engineers
Interface with clients and engineers from other disciplines
Manage a variety of exciting projects
Apply knowledge of materials, structural analysis, structural steel design, and reinforced concrete design in the successful execution of assigned tasks
Work on a wide range of projects for various clients and interface with them as required
Direct the preparation and review of design calculations, specifications, reports and other deliverables
Support designers with drawing development
Supervise and mentor others in the development of quality engineering deliverables
Perform the structural analysis and design of steel frames, connections, concrete members, and foundations using state-of-the-art computer tools
Travel to client and vendor offices for design reviews
Travel to plant site locations for construction coordination and field verification of designs
Lead others in taking engineering problems from issue to solution by setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective designs
Direct automation and process-improvement work, for example, how teams automate calculations, summarize technical documents, or generate design documentation and guiding when and how AI or agentic AI tools are used while ensuring results are checked