Stellantis

Virtual Statistical Validation Engineer - Automated Driving (H/F)

Casablanca

CDI / Temps pleinTélétravail3–5 ansLicence / Bac+3Informatique / IngénierieAutomobile

L’essentiel du poste

Résumé par Postule AI

Stellantis' Software Organization is seeking a Virtual Statistical Validation Engineer to work on Statistical Validation and Functional Reprocessing for L2-L3 automated driving test activities. The role involves creating Python test cases, validating them through local simulations and toolchains, evaluating new pipelines, and giving structured feedback to the team lead within a global team.

Vos missions

  • Identify requirements to be tested with varying input parameters and create Logical Scenarios to evaluate them.
  • Create test cases for statistical validation and validate them through local simulations and toolchains.
  • Write test cases in Python and debug and resolve test issues with the required tools.
  • Evaluate new possible pipelines entering the company.
  • Provide structured feedback to the team lead and support the team in resolving problems for new statistical test cases.

Profil recherché

  • You hold a computer science or engineering degree with a focus on ADAS/AD simulation
  • You are self-productive and can create and validate test cases through local simulations and toolchains
  • You have hands-on coding experience in Python and C++ and knowledge of software testing tools
  • You have a DevOps or CI/CD background and enjoy working on new, challenging validation topics

Généré automatiquement à partir de l’offre. Postule AI peut se tromper : vérifiez auprès de l’employeur.

Mission description

As part of Stellantis' Software Organization (SWx), you will work on Statistical Validation and Functional Reprocessing for L2-L3 automated driving test activities. Stellantis is investing to rapidly grow its capabilities in Automated Driving.

Statistical Validation is a new branch of Core SW Virtual V&V that validates the statistical requirements of L2+/L3 features. You will identify requirements to be tested with varying input parameters and create Logical Scenarios to evaluate them.

You will collaborate with a global team on a new and challenging task to define the Statistical Validation and Functional Reprocessing areas.

Key responsibilities

  • Create test cases for statistical validation and validate them through local simulations and toolchains.
  • Write test cases in Python, debug them and resolve test issues with the required tools.
  • Evaluate new possible pipelines entering the company.
  • Provide structured feedback to the team lead and support the team in resolving problems for new statistical test cases.

Profile

Basic qualifications

  • Bachelor of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university
  • 2 or more years of experience in software DevOps or CI/CD
  • Proven experience using simulators or commercial simulation tools for ADAS/AD
  • 3 years of proactive coding experience in C++, Python
  • Demonstrated knowledge of software testing toolsets and languages

Preferred qualifications

  • Master of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university
  • Demonstrated knowledge of ADAS/Autonomous Driving features and related electronic architectures
  • Demonstrated knowledge of JSON, OpenSCENARIO and OpenDRIVE scenario files
  • Experience using the simulator's API with Python to interact with the simulator
  • Demonstrated knowledge of test platforms such as Software and Hardware in the Loop
  • 3 or more years of experience in AD scenario-based simulation, either based on open source
  • Familiarity with software DevOps or CI/CD environments and test tools such as Docker, Airflow, Jenkins
  • Experience in C++ and QEMU emulation testing
  • Demonstrated knowledge of MATLAB/Simulink and CarSim

Mise en forme par Postule ·

Signaler un problème