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

Soprasteria1

Montreal

Hybrid

CAD 95,000 - 134,000

Full time

2 days ago
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Benefits offered by this job

Hybrid Work
Industry leading medical, dental, and视
Access to a telemedicine service
RRSP program
Personal and sick days
Recreation room with pool table and fo
Recreation room with pool table and fo

Job summary

CS Group Canada seeks a Software Safety Engineer to advance SW-FMEA automation using LLMs, RAG, and Knowledge Graphs. You will craft automated C/C++ inspection tooling, ensuring traceability to safety controls within source code, and integrate analyses with Jira, Jama, and Polarion.

The role focuses on developing CI/CD validations and accelerating safety analysis within a 2-month contract, leveraging hybrid work arrangements.

Qualifications

  • Hands-on experience with LLM-, RAG-, and Knowledge Graph-based solutions.
  • Strong knowledge of SW-FMEA and ISO 26262.
  • Experience with C/C++ code analysis, including AST parsers.
  • Experience developing and automating CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or Bazel).
  • Proficiency in Python and C/C++.
  • Familiarity with ALM tools (Jira, Jama, Polarion, or DOORS).

Responsibilities

  • Design and develop LLM- and RAG-based solutions to automate SW-FMEA generation from software architectures, SysML specs, and safety docs.
  • Develop automated C/C++ code inspection tools using LLMs and AST parsers to identify safety mechanisms.
  • Ensure traceability between SW-FMEA analyses and safety mechanisms in source code.
  • Implement automated CI/CD pipeline checks to detect risky code changes.
  • Integrate analyses with requirements management and ALM tools (Jira, Jama, Polarion).
  • Aim for 80% reduction in analysis time through automation.

Skills

LLM-based solutions
RAG
Knowledge Graph
Neo4j
C/C++ code analysis
AST parsers
Software safety mechanisms
CI/CD pipelines
Python
API integration
Jira
Polarion
Jama
DOORS

Tools

GitHub Actions
GitLab CI
Jenkins
Bazel

Job 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.

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.
  • 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).

Please note that only selected candidates and Permanent Residents/Canadian Citizenswill 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 andfoosball table

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

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