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Sopra Steria VERIFIED EMPLOYER

Software Safety Engineer – AI, LLM & SW-FMEA Automation.

Software Engineering & Dev Full-Time

Software Safety Engineer – AI, LLM & SW-FMEA Automation: our view in 3 lines...

  • The Role:This role is for an engineer who combines software safety analysis with large language model development to automate safety failure analysis for safety-critical systems.
  • The Person:The person will design and develop LLM and RAG solutions to automate SW-FMEA generation, build automated C/C++ code inspection tools, ensure traceability between analyses and safety mechanisms, and implement CI/CD pipeline checks for safety-critical code changes.
  • Requirements:The ideal candidate has hands-on experience with LLM, RAG, and Knowledge Graph-based solutions, Neo4j, ISO 26262, C/C++ code analysis, AST parsers, CI/CD pipelines, Python, and Jira.

About the role

Company Description

CS Group Canada, a subsidiary of CS Group (part of the Sopra Steria Group), is a leader in the development and certification of safety-critical systems in the aerospace, electric, and autonomous driving industries.

Joining CS Group Canada means taking part in complex, high-tech projects for some of the most prestigious system manufacturers in North America, while benefiting from competitive salaries, comprehensive benefits, and flexible work arrangements.

Job Description

We are seeking a Software Safety Engineer with expertise in Artificial Intelligence (AI), Large Language Models (LLMs), and software safety engineering to support an initiative focused on accelerating Software Failure Mode and Effects Analysis (SW-FMEA).

The successful candidate will contribute to the development of a two-phase dynamic safety architecture: automating the generation of unbiased SW-FMEAs from software architecture specifications and continuously validating safety controls directly within source code through modern CI/CD pipelines.

This is a 2-month contract aimed at modernizing software safety analysis processes, improving coverage, and significantly reducing analysis time as part of the ZHAP improvement initiative.

Responsibilities

  • Design and develop LLM- and RAG-based solutions to automate SW-FMEA generation from software architectures, SysML specifications, and safety documentation.
  • Develop automated C/C++ code inspection tools using LLMs and AST parsers to identify failure prevention and detection mechanisms.
  • Ensure traceability between SW-FMEA analyses and safety mechanisms identified in source code.
  • Implement automated CI/CD pipeline checks to detect code changes that could compromise critical safety mechanisms.
  • Integrate analysis outputs with requirements management and ALM tools, including Jira, Jama, and Polarion.
  • Evaluate the accuracy and coverage of automated analyses, targeting an 80% reduction in analysis time.

Qualifications

  • Hands-on experience developing LLM-, RAG-, and Knowledge Graph-based solutions (Neo4j, Graph RAG).
  • Strong understanding of SW-FMEA, functional safety (ISO 26262), and systems engineering.
  • Experience with C/C++ code analysis, including AST parsers and software safety mechanisms.
  • Experience developing and automating CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or Bazel).
  • Proficiency in Python and C/C++, as well as API integration development.
  • Familiarity with requirements management and ALM tools (Jira, DOORS, Jama, or Polarion).

Additional Information

Please note that only selected candidates and Permanent Residents/Canadian Citizens will be contacted.

Job Types: Full-time, Permanent

CS Group Canada values ​​diversity in the workplace and encourages women, visible minorities, ethnic minorities, aboriginal people, and people with disabilities to apply.

Benefits:

  • Hybrid Work 
  • Industry leading medical, dental, and vision Insurance
  • Access to a telemedicine service
  • RRSP program
  • Personal and sick days
  • Recreation room with pool table and foosball table

All your information will be kept confidential according to EEO guidelines.

Published November 3, 2026
Location Montréal, Canada
Job Type Full-Time