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Added 31 mins ago
I
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- $17.6 CAD / hour
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…These external platforms may use automated tools, including artificial intelligence, for candidate screening and matching. We do not control or influence these processes. To ensure your…
Added 7 hours ago
SM
Registered Practical Nurse - Med/Surg
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Alliston, ON
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…These external platforms may use automated tools, including artificial intelligence, for candidate screening and matching. We do not control or influence these processes. To ensure your…
Added 7 hours ago
SM
Registered Practical Nurse - Med/Surg
Stevenson Memorial Hospital
Alliston, ON
- Full-time
…These external platforms may use automated tools, including artificial intelligence, for candidate screening and matching. We do not control or influence these processes. To ensure your…

Sopra Steria

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

400 Avenue Sainte-Croix, Montreal, QC, H4N 3K4, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
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.

Duration (in Months): 2

Apply About employer

More about this job

Responsibilities

Design and develop LLM- and RAG-based solutions to automate SW-FMEA generation from software architectures and safety documentation. Implement automated CI/CD pipeline checks and C/C++ code inspection tools to ensure safety mechanism traceability.

Requirements

Requires hands-on experience with LLM, RAG, and Knowledge Graph solutions alongside a strong understanding of functional safety standards like ISO 26262. Proficiency in Python, C/C++, and experience with CI/CD pipeline automation and ALM tools is essential.

Skills

Artificial Intelligence
Large Language Models
SW-FMEA
Functional Safety
ISO 26262
C++
Python
CI/CD
AST Parsers
Knowledge Graph
Neo4j
Graph RAG
Systems Engineering
API Integration
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

Software Safety Engineer
AI
LLM
SW-FMEA
Automation
Functional Safety
ISO 26262
C++
Python
CI/CD
AST Parsers
Knowledge Graph
Neo4j
Graph RAG
Systems Engineering
API Integration
Jira
Jama
Polarion
GitHub Actions
GitLab CI
Jenkins
Bazel
Aerospace
Autonomous Driving
Safety-critical systems
Software architecture
Requirements management
ALM
Code analysis

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