Autonomous Driving Systems Simulation and Data Analysis Engineer

CS GROUP

Montreal (administrative region)

Hybrid

CAD 100,000 - 150,000

Full time

6 days ago

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Benefits offered by this job

Hybrid work

Medical insurance

Dental insurance

Vision care

Telemedicine

RRSP program

Paid personal and sick days

Job summary

CS Group Canada is a leader in safety-critical systems for aerospace, electric, and autonomous driving sectors. We seek an engineer to validate performance requirements, refine KPIs, and develop tools for large-scale simulation and real-world data analysis to advance system safety.

The role focuses on latency budgets, safety thresholds, and checker maturation, while enabling scalable validation and robust software integration within CI/CD pipelines. Hybrid work is available.

Qualifications

Bachelor's or Master's in Computer Engineering, Software Engineering, Electrical Engineering, Robotics, or related field.
Experience validating and quantifying performance for autonomous driving functions and datasets.
Production-quality software development in C/C++ and/or Python; CI/CD and automated validation.

Responsibilities

Develop and maintain simulation tooling in C/C++ and Python for large-scale autonomous driving validation.
Design interfaces between validation tools, simulation environments, and data processing frameworks.
Extend simulation scenarios to inject perception noise, latency, and failure conditions.
Support containerized development and deployment with Docker and Linux-based infrastructure.
Evaluate safety mechanisms under degraded system performance; refine requirements and thresholds.
Develop Python- and C/C++-based pipelines to process and visualize large driving datasets.

Skills

Analytical thinking

Team collaboration

Problem solving

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

C/C++ development

Python

Linux

Docker

CI/CD tooling

Simulation tools

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

Support the validation and continuous refinement of performance requirements, safety thresholds, and key performance indicators (KPIs) for autonomous driving systems through large-scale simulation and real-world data analysis.

The engineer will leverage simulation, data analytics, and software development to quantify and refine performance, behavioral, and technical requirements necessary to achieve system safety. The role focuses on safety requirements quantification, including latency budgets, safety mechanism thresholds, and checker maturation parameters, while developing and maintaining simulation and analysis tools, and supporting scalable safety validation activities.

Key Responsibilities

Simulation Development & Scenario Execution

Develop and maintain simulation tooling in C/C++ and Python to support large-scale autonomous driving validation activities.
Design interfaces and integrations between internal validation tools, simulation environments, and data processing frameworks.
Extend existing simulation scenarios to inject perception noise, latency, and failure conditions to characterize system robustness.
Support containerized development and deployment environments using Docker and Linux-based infrastructure.
Use simulation results to support the definition and refinement of subsystem performance requirements and safety thresholds.
Evaluate the effectiveness of safety mechanisms under degraded system performance conditions.

Data Analytics & Performance Evaluation

Develop and maintain Python- and C/C++-based analysis and simulation pipelines to process, visualize, and evaluate large-scale driving and simulation datasets.
Investigate scenarios where unsafe behavior occurs despite performance targets being met and provide data-driven recommendations for improving metrics, thresholds, or requirements.
Determine characterization data and quantify system performance against KPIs, SPIs, safety targets, and behavior requirements.

Qualifications

Education

Bachelor's or Master's degree in Computer Engineering, Software Engineering, Electrical Engineering, Robotics, Computer Science, or a related discipline.

Experience

Experience with validating and quantifying performance criteria for autonomous driving functions such as:
- Adaptive Cruise Control (ACC)
- Lane Centering
- Automated Lane Change
- Highway Driving Assist
- Automated Driving / ADS functions
Experience analyzing autonomous driving datasets and vehicle performance data.
Experience developing production-quality software in C/C++ and/or Python, including tool development, automation, and system integration activities.
Experience with Linux-based development environments.
Experience integrating software applications into CI/CD pipelines and automated validation workflows.
Experience working with autonomous driving software stacks, particularly:
- Perception
- Object tracking/fusion
- Vehicle Intent
- Prediction
- Planning
- Vehicle control interfaces
Experience evaluating software and system performance using simulation and real-world validation data.

Desired Skills

Simulation & Scenario-Based Validation

Experience with Applied Intuition Simian simulation environments.
Experience with Foretellix scenario generation and validation tools.
Experience with AV simulation stacks and simulation workflows.
Experience developing, generating, and managing simulation scenarios for autonomous driving validation.
Experience evaluating ODD coverage and edge-case traffic situations.

Software & Infrastructure

Experience integrating simulation, validation, or analytics tools into enterprise software ecosystems.
Experience setting up, configuring, and running Docker containers.
Experience working with CI/CD pipelines and large-scale data processing frameworks.
Experience developing internal engineering tools and automation frameworks in C/C++ or Python.
Experience with build systems such as CMake and software development best practices.

Autonomous Driving & Safety

Knowledge of Autonomous Driving Safety Performance Indicators and KPIs.
Familiarity with ISO 21448 (SOTIF).
Experience supporting safety case development, safety performance evaluation, or safety requirement specification activities.

Additional Information

Please note that only selected candidates and Permanent Residents/Canadian / American 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