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CS GROUP

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

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

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.

Apply About employer

More about this job

Responsibilities

Develop LLM- and RAG-based tools to generate SW-FMEAs from software architectures and safety documentation, and inspect C/C++ code for safety mechanisms. Establish traceability between analyses and source code, add safety checks to CI/CD pipelines, integrate results with ALM tools, and evaluate analysis accuracy and coverage.

Requirements

The role requires hands-on experience with LLM, RAG, and Knowledge Graph solutions, along with knowledge of SW-FMEA, functional safety, and systems engineering. Candidates should have experience analyzing C/C++ code with AST parsers, building CI/CD pipelines, developing in Python and C/C++, integrating APIs, and using requirements or ALM tools.

Skills

Large Language Models
Retrieval-Augmented Generation
Knowledge Graphs
Software Failure Mode and Effects Analysis
Functional Safety
ISO 26262
C/C++ Code Analysis
Abstract Syntax Trees
CI/CD Pipelines
Python
C/C++
API Integration
Systems Engineering
Requirements Management
Jira
Polarion

Benefits

Hybrid Work
Medical Insurance
Dental Insurance
Vision Insurance
Telemedicine Service
RRSP Program
Personal Days
Sick Days

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Large Language Models
Retrieval-Augmented Generation
Knowledge Graphs
Neo4j
Graph RAG
Software Failure Mode and Effects Analysis
SW-FMEA
Software Safety Engineering
Functional Safety
ISO 26262
Systems Engineering
SysML
C/C++
Abstract Syntax Trees
Python
CI/CD
GitHub Actions
GitLab CI
Jenkins
Bazel
Jira
Jama
Polarion
DOORS
ALM
Safety Mechanisms
Source Code Analysis
Requirements Management
Aerospace

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