Software Safety Engineer - AI, Large Language Model & Software Failure Mode and Effects Analysis Automation

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.