Lead Piping Stress Engineer 1 - Nuclear

Sargent & Lundy•North York, ON

6d•CA$130,193 - CA$179,016•Hybrid

About The Position

The Piping Engineering & Analysis discipline performs evaluations for piping systems in accordance with ASME Boiler and Pressure Vessel Code, ASME B31.1, ASME B31.7, and other codes as applicable to the specific evaluation being performed. The discipline also performs evaluations for vibration monitoring and analysis, hydraulic transients, thermal stratification effects, operability, hydrodynamic loads, pipe rupture, pipe wall thinning due to corrosion, and pipe flaw evaluations. This role provides senior-level technical direction and supervision to project team members, establishes project task schedules and budgets, coordinates activities between disciplines, and is responsible for the successful completion of project deliverables. The Lead Engineer serves as a technical liaison with the client and a lead technical resource on projects.

Requirements

BS or MS in Mechanical Engineering, Engineering Mechanics, Aerospace, or Structural/Civil Engineering from a Canadian Engineering Accreditation Board-accredited undergraduate program or a US based ABET-accredited program, with an emphasis in solid mechanics, structural analysis, theory of elasticity, metallurgy, and finite element analysis
10 or more years of relevant experience
Extensive 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
Must be a citizen of a country listed in Appendix A to Part 810 of the Code of Federal Regulations.

Nice To Haves

P.Eng license
Active Ontario Power Generation (OPG) security clearance
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
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

Provides senior level technical direction and supervision to the project team members in his/her discipline.
Establishes project task schedules and budgets for his/her discipline to meet overall project requirements.
Coordinates activities between disciplines.
Is responsible for successful completion of project deliverables to meet all technical, quality, and project controls expectations.
Serves as a technical liaison with the client and a lead technical resource on projects.
Reviews complex calculations and approves simple calculations.
Provides technical guidance to project team members.
Ensures that calculations are technically sound and in accordance with project requirements.
Reviews and approves simple system/structural designs and prepares and reviews complex system/structural designs to ensure completeness, accuracy, quality, constructability, and operability.
Performs engineering review of drawings.
Reviews design input for complex system/structures.
Defines client expectations for drawings.
Coordinates interface between design and engineering.
Actively participates in design reviews to ensure quality, constructability, and operability.
Prepares and reviews major system, installation, and material specifications.
Defines technical and commercial requirements, including scheduling of vendor submittments needed for design input.
Prepares bid evaluations for complex systems and installation scopes.
Participates in bid negotiations with vendors.
May evaluate change orders on behalf of the client.
Prepares and reviews single-discipline, complex reports/studies.
Participates in the preparation of multi-discipline reports.
Reviews studies and reports to ensure that conclusions are technically sound, cost-effective, and clearly communicated.
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.
Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs.