R&D Perception Engineer - CDI Toulouse

EasyMile; Toulouse; Hybride; EUR 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

Flexibility with 2 days of remote work per week

Swile cards

Eco-mobility allowance

Fresh fruit/coffee/tea

Regular team building events

Résumé du poste

A leader in autonomous vehicle technology is looking for a Perception Engineer to develop detection algorithms and support long-term technical visions. The role requires expertise in multi-sensor fusion and strong programming skills in C++ and Python. You will be responsible for designing, testing, and reviewing source code while collaborating closely with the product team. The position offers a flexible work schedule with opportunities to advance within a diverse and innovative environment in Toulouse.

Qualifications

• Extensive experience designing and deploying detection algorithms in production environments.
• High skill level in C++ and Python, data structures, and modern software development methodologies.
• At least 5 years of R&D experience in the perception industry.

Responsabilités

• Identify and define detection algorithms using Lidar, Radar, and other sensors.
• Design and review source code ensuring quality through validation.
• Collaborate with Product Owners on effort estimation and risk monitoring.

Connaissances

C++

Python

Multi-sensor fusion

Team spirit

Autonomy

Strong communication skills

Formation

Master’s or Engineering degree

Description du poste

EasyMile is a global leader in autonomous technology for heavy‑duty vehicles in airports and industrial sites. Since 2014, our software has powered 400+ locations in 30 countries across 1,000,000+ km. We were the first to deploy Level 4 fully driverless operations and are ISO 9001 certified.

Join the Team

With 150 employees in Toulouse and Berlin, we seek creative and ambitious talents to build the future of driverless tech.

• Flexibility: 2 days of remote work/week.
• Well‑being: Swile cards, eco‑mobility allowance, and fresh fruit/coffee/tea.
• Culture: Regular team building, "EZtalks," and a proactive social committee (CSE).

The Team: Detection

The Detection team is the “eyes” of our autonomous vehicles. Their mission is to provide high‑fidelity environment perception:

• Obstacle Data: 3D positioning, existence probability, kinematics (static/dynamic), speed, history, and prediction.
• Object Pose Estimation: Specialized detection for loading docks, containers, and other key assets.

Your Responsibilities

As a Perception Engineer

• Algorithm Design: Identify and define advanced detection algorithms using Lidar, Radar, and other perception sensors in collaboration with Tech Leads and Architects.
• Tech Watch: Stay at the forefront of the state‑of‑the‑art in autonomous driving and perception.
• Roadmap Support: Assist the Tech Lead in defining the long‑term technical vision.

As a Core Team Member

• Full Lifecycle: Design, document, implement, and review source code.
• Validation: Define test plans and validate developments on test benches or directly in the vehicle.
• Reliability: Ensure support and maintenance of your components from delivery to production (integration, deployment, and run).
• Collaboration: Work closely with Product Owners on effort estimation, risk monitoring, and architecture compliance.

Profile

At EasyMile, there is no “typical” profile. We value diverse backgrounds and believe that motivation is the key driver for innovation.

Requirements

• Technical Expertise: Extensive experience designing and deploying detection algorithms and multi‑sensor fusion (Lidar, Radar, Camera) in production environments.
• Software Proficiency: High level of skill in C++ and Python, data structures, algorithms, and modern software development methodologies.
• Background: Master’s or Engineering degree with at least 5 years of R&D experience in the perception industry.
• Languages: Good proficiency in English, Fluent in French is mandatory.

Soft Skills

• Experimental Mindset: Comfortable setting up and evaluating the performance of advanced algorithms and experimentation plans.
• Soft Skills: High levels of autonomy, team spirit, and strong communication skills.
• Growth: A leadership mindset is a plus and will help you advance quickly within our organization.