Safety Engineer Expert – Machine Learning - ISO 26262

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

As a Safety Expert for Machine Learning , you will address one of the most challenging questions in the field: ensuring the safety and reliability of non-deterministic, ML-based ADAS components .

Your responsibilities will include:

·  Researching, defining, and pioneering best practices and standards for the verification and validation of ML systems , where traditional safety methods may not apply,
·  Applying STPA (System-Theoretic Process Analysis) and related system-safety techniques to identify unsafe control actions and derive ML-specific safety requirements,
·  Collaborating closely with World Understanding and Behavior teams to define processes for data quality, model robustness, and Operational Design Domain (ODD) ,
·  Developing and formalizing novel safety arguments and evidence to support production-ready deployment of AI-based ADAS features,
·  Acting as a thought leader, helping shape the integration of machine learning into safety-critical automotive systems.

Qualifications

·  Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, AI/ML Engineering, or a related discipline,
·  Strong expertise in  functional safety  and  AI/ML safety challenges , ideally in the context of automotive ADAS and autonomous systems,
·  Advanced studies (PhD) in AI safety, ML validation, or related research areas are considered a strong asset.
·  Solid understanding of  machine learning model development, validation, and testing,  and life-cycle data management,
·  Practical experience applying  STPA, FMEA, or similar system-theoretic hazard analyses  to automotive or aerospace systems.
·  Knowledge of emerging standards and guidelines for ML safety (e.g., ISO 21448 – SOTIF, ISO 8800, UL 4600),
·  Ability to bridge the gap between research and practical engineering implementation,
·  Collaborative mindset, able to work across data, perception, and system safety teams.

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.

Job Location

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