Safety Autonomous Vehicle Engineer
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Montréal
- CS Group
- Engineering, Development, Applications
- 6 to 10 years
- Standard
- English
- No
- Mid-Senior Level
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.
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.
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.
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.
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