🕒 15 days ago
Own the end-to-end development of in-cabin vision models, from data curation and training to evaluation and deployment, supporting passenger understanding, rider safety, and reliable robotaxi operations.
Experienced Deep Learning Algorithm Developer
📅 Aug 30
Deep LearningComputer VisionAlgorithm DevelopmentADAS
📜 Description
- Research and develop computer vision and deep learning algorithms for ADAS and autonomous driving.
- Contribute across the development cycle, from research and prototyping to deployment on real-time embedded vehicle systems.
- Collaborate with Computer Vision, Machine Learning, and Data Engineering teams to solve real-world problems.
- Analyze large datasets to improve algorithm performance and robustness.
🛠️ Requirements
- B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance.
- 4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or autonomous-driving perception.
- Solid understanding of data structures, algorithms, and deep learning principles.
- Hands-on algorithm development experience.
- Strong problem-solving skills and ability to work independently and collaboratively.
- TensorFlow or PyTorch experience is a plus.
- Familiarity with cloud platforms and tools such as AWS or GCP is a plus.
Full job description
The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
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