Computer Programming Summer Jobs in Ontario (NOW HIRING)

• In this position, you will be responsible for piping analysis work on new and existing generation nuclear projects, and will interface with systems engineering, structural engineering, piping design, and support design groups, for the design of piping systems and pipe supporting elements
• Reconciliation of pipe stress reports for as-built conditions
• Prepare analytical reports determining the reactions of piping on equipment and structures
• Interpret and apply code requirements
• Review proposed piping support systems, identify issues, and recommend appropriate, cost-effective solutions
• Interface and exchange engineering details between external contacts including equipment suppliers, clients, and installation contractors
• Manage workload to meet project commitments
• Consult with client and others on field-related issues including follow-up reports or design modifications
• Coordinate and provide guidance to other engineers, project managers, client personnel, and suppliers to ensure a complete and timely design
• Develop your career via peer-learning through sharing of knowledge with other experienced engineers by way of S&L’s systems of process and associated “Communities of Practice"
• Provide guidance as a mentor in the development of less experienced engineers

This position is based on a hybrid work schedule and will require in-office work 3 days per week, giving you the flexibility to work remotely for two days. 

We do not sponsor employees for work authorization in Canada for this position.

This position may require access to U.S. export-controlled information. As such, candidates must be a citizen of a country listed in Appendix A to Part 810 of the Code of Federal Regulations. Please click here to determine your eligibility.

Essential Skills and Experience:

• 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
• 5 or more years creating computer piping analysis models and interpreting results for code compliance
• Must have knowledge of ASME B31.1 and ASME B&PV Section III piping codes (knowledge of B31.1 1967 Edition and B&PV Section III 1971 through Summer 1973 Addenda is preferred)
• 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 required

Valued but not required skills and experience:

• P.Eng license is desired
• Active Ontario Power Generation (OPG) security clearance is a plus
• MS in Mechanical Engineering, Engineering Mechanics, Aerospace, or Structural Engineering, from an ABET Engineering Accreditation Commission-approved program
• Experience with CAESAR II and/or AutoPIPE Pipe Stress Analysis software
• Experience with ANSYS Workbench and Mechanical ADP
• Knowledge of gas dynamics and hydraulic transients is desirable
• Knowledge of pipe condition assessment is a plus

In this role, we expect people to be willing or able to lead others who use modern tools:

• 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.
• 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.
• We also value 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.

At Sargent & Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.

$81,278 - $124,175
This posting is to fill an existing vacancy. Sargent & Lundy discloses compensation ranges that comply with all provincial and federal legislation. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus.
Sargent and Lundy is fully committed to abiding by all equal opportunity employment standards. Our employment policies strictly prohibit all forms of discrimination on any of the grounds in relevant laws. All our employment practices are solely based on individual merit and our organization's needs at the time. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment process. AI-enabled tools may support certain stages of recruitment, but human judgment remains central to the candidate experience, and all hiring decisions are made by human reviewers.