Safety Autonomous Vehicle Engineer

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 looking for a Safety Engineer for Advanced Vehicle systems to support the design, analysis, and validation of safety-critical automotive features. The role focuses on ensuring functional safety and system robustness for advanced vehicle subsystems (autonomous driving, ADAS, E/E architecture, actuators, sensors). 

Responsibilities 

·  Perform functional safety analyses (FTA, FMEA, STPA) for advanced vehicle systems. 
·  Support system design verification and validation activities to ensure safety compliance. 
·  Develop system-level architecture with integrated safety requirements 
·  Collaborate with software, hardware, electrical, and vehicle subsystem teams to integrate safety requirements. 
·  Develop and maintain safety documentation: architectures, requirements, hazard analyses, verification evidence. 
·  Identify and mitigate potential failure modes in advanced vehicle components. 

Qualifications

Required Qualifications

·  Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering , or a closely related field.
·  Proven experience with functional safety for automotive systems , including ISO 26262 and ISO 21448 (SOTIF) .
·  Exposure to ADAS, autonomous driving, robotics systems , or vehicle E/E architectures .
·  Practical working knowledge of safety analysis methods such as HARA, FTA, FMEA, and/or STPA .
·  Experience handling perception uncertainty , including degraded sensor states , sensor fusion limitations, and confidence estimation.
·  Understanding of AI/ML concepts in safety-critical systems , including model limitations, edge cases, and validation constraints.
·  Strong communication and collaboration skills , with the ability to work effectively across multidisciplinary engineering teams.

Preferred / Desirable Skills

·  Familiarity with mission control and remote operations safety concepts , including teleoperation and fleet-level risk management .
·  Experience designing or assessing fail-operational architectures and redundancy strategies for autonomous systems.
·  Knowledge of DDS (Data Distribution Service) or similar middleware used in distributed autonomous vehicle platforms .
·  Experience with AUTOSAR Adaptive in the context of ADAS or AV systems.
·  Hands-on experience with scenario-based testing and simulation tools such as CARLA, PreScan, or dSPACE .
·  Familiarity with ISO/PAS 8800 and emerging standards related to AI safety in road vehicles .
·  Exposure to safety-focused knowledge graphs or structured safety argumentation frameworks.

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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