Software Safety Engineer – AI, LLM & SW-FMEA Automation
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
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
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:
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.
- 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 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
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
Categories
- Software
- Technology
- Engineering
- Security & Safety
- Data & Analytics
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