Automotive & Mobility

Autonomous Vehicle Engineer

Builds the perception, planning, and control software that lets vehicles sense their surroundings and drive with reduced or no human input.

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What you do

Develops and tests algorithms for sensor fusion, object detection, path planning, and vehicle control using camera, lidar, and radar data. Works with large driving datasets, runs simulation testing, and validates behavior on closed test tracks or instrumented vehicles.

Typical work environment

Primarily software development and data work in an office or lab setting, with periodic on-road or test-track validation sessions.

Typical entry point

Entry-level software or robotics engineer at an autonomous driving company, automotive OEM, or robotics lab

Relevant subjects

Core

Computer ScienceMathematics

Also relevant

Physics

Relevant interests

Core

RoboticsProgrammingAI / DataCars / Automotive

Useful skills

Programming· AdvancedPython· AdvancedProblem solving· AdvancedAnalytical thinking· Advanced

These are useful, relevant skills to build over time — not a checklist you need to already have.

Common education routes

Bachelor's degree—Computer Science EngineeringPrimary route
Bachelor's degree—Robotics EngineeringPrimary route
Master's degree—Artificial Intelligence & Machine LearningCommon route

These are common routes in, not the only path — and not a university or course recommendation.

Career characteristics

Strong salary potentialResearch-intensiveDeep technical specialisationGood international mobilityCreativity-driven

General tendencies for this career, not a guarantee — actual roles vary by employer and location.

Industries

AutomotiveRoboticsSoftwareAI

Tags

STEMTechnicalHigh-growthResearch-heavy

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