Senior Piping Stress Engineer 1 - Nuclear

Sargent & Lundy

About The Position

The Piping Engineering & Analysis discipline at Sargent & Lundy performs evaluations for piping systems in accordance with ASME Boiler and Pressure Vessel Code, ASME B31.1, ASME B31.7, and other applicable codes. This discipline also specializes in vibration monitoring and analysis for plant modifications and operating events, providing prevention and mitigation solutions. Other specialty topics include evaluation of hydraulic transients, thermal stratification effects, operability evaluations, qualification of piping for hydrodynamic loads, pipe rupture evaluations, pipe wall thinning due to flow accelerated corrosion (FAC) or microbiological induced corrosion (MIC), and pipe flaw evaluations. As a Senior Piping Stress Engineer, this role provides senior-level technical support by performing complex engineering tasks, including the preparation and review of calculations and designs. The position is responsible for the preparation and completion of discipline engineering designs that meet project needs and involves monitoring the work of assigned staff to ensure requirements are met.

Requirements

BS or MS in Mechanical Engineering, Engineering Mechanics, Aerospace, or Structural/Civil Engineering, from an ABET Engineering Accreditation Commission-approved program, with an emphasis in solid mechanics, structural analysis, theory of elasticity, metallurgy, and finite element analysis
5 or more years of relevant experience
Knowledge of ASME B31.1 and ASME B&PV Section III piping codes
Knowledge of the design, selection, and application of pipe supporting elements
Working knowledge of commercially available piping products and their application
Strong written and verbal communication skills
Willing or able to lead others who use modern tools (automation and AI) to improve workflows, reduce rework, and deliver cost-effective designs

Nice To Haves

P.E. license
Working knowledge of commercially available piping products and their application
The ability to navigate a 3D CAD model
Experience with AutoPIPE or PIPESTRESS software
Knowledge of gas dynamics and hydraulic transients
Knowledge of pipe condition assessment
Experience with ANSYS Workbench and Mechanical ADP
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

Prepares and reviews complex calculations.
Reviews simple system/structural designs and prepares complex system designs.
Prepares documented design input for drawing production (i.e., P&IDs and Master Diagrams).
Performs engineering review of drawings.
Prepares and reviews equipment specifications.
Prepares material specifications.
Prepares bid evaluations for systems and larger components.
Prepares calculations to support economic evaluations.
Solicits data from vendors.
Prepares and reviews simple reports/studies.
Develops single-discipline/simple-scope project budgets, schedules, and project work plans.
Monitors own work to ensure it is completed within budget and on schedule.
Provides single-discipline input to simple proposals.
Uses effective written and oral communication skills to convey information to project team members and managers.
Presents written technical information in a clear and concise manner in all deliverables.
Prepares reports and deliverables that are clearly understood and meet client requirements.
Communicates clearly in meetings with client, and summarizes meeting notes in a clear and timely manner.
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.