Autonomous Vehicle Validation Engineer — Remote

BairesDev

Mexico

On-site

PHP 7,299,000 - 10,949,000

Full time

13 days ago

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Benefits offered by this job

Remote work
Home setup provided
Flexible hours
Parental leave & holidays
Mentorship & growth

Job summary

BairesDev is seeking a Validation Engineer to ensure the reliability and safety of autonomous vehicle systems through rigorous testing and simulation. This remote role focuses on building evaluation pipelines for offline assessment and scenario-based validation, joining a global team delivering high-impact projects.

Ideal candidates will have 5+ years in software engineering for AV validation, strong Python skills, and hands-on experience with CARLA or DRIVE Sim.

Qualifications

  • 5+ years of software engineering with a focus on autonomous vehicle validation.
  • Expertise in designing and implementing simulation pipelines using CARLA or DRIVE Sim.
  • Hands-on experience with scenario generation, offline evaluation, and automated testing.
  • Advanced Python skills and large-scale data analysis pipeline design.
  • Strong understanding of vehicle validation methodology and end-to-end pipeline ownership.
  • Advanced proficiency in English.

Responsibilities

  • Architect and manage end-to-end simulation pipelines to validate autonomous vehicle behaviors.
  • Design diverse and complex testing scenarios using CARLA or NVIDIA DRIVE Sim.
  • Develop automated testing protocols and offline evaluation strategies for system performance.
  • Engineer large-scale data analysis pipelines in Python to process and interpret validation results.
  • Take ownership of the validation lifecycle from design to deployment.

Skills

AV validation
CARLA
NVIDIA DRIVE Sim
Python
Scenario generation
Data pipelines
English

Tools

Simulation pipelines

Job description

BairesDev is seeking a Validation Engineer to ensure the reliability and safety of autonomous vehicle systems through rigorous testing and simulation. This remote role focuses on building evaluation pipelines for offline assessment and scenario-based validation, joining a global team delivering high-impact projects.

Ideal candidates will have 5+ years in software engineering for AV validation, strong Python skills, and hands-on experience with CARLA or DRIVE Sim.

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