Autonomous Driving Simulation & Data Analytics Engineer

CS GROUP

Montreal (administrative region)

Hybrid

CAD 100,000 - 150,000

Full time

4 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

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.

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