Experienced Deep Learning Algorithm Developer
Overview
- Added in 30 days
- 68
- At this company, still open
Skills named in this posting
- PyTorch / TensorFlow
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.
What will your job look like:
• Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
• Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
• Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
• Analyze large datasets to improve algorithm performance and robustness.
All you need is:
• 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 perception for autonomous driving systems.
• Solid understanding of data structures, algorithms, and deep learning principles.
• Hands-on experience in algorithm development.
• Strong problem-solving skills and the ability to work independently and as part of a team.
Nice to have:
• Experience with TensorFlow or PyTorch.
• Familiarity with cloud platforms and tools (e.g., AWS, GCP).
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!
Apply on the employer's site
Original posting: jobs.eu.lever.co
RISC-V ecosystem
Mobileye Vision Technologies Ltd. in the RISC-V ecosystem
RISC-V International: Strategic
Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.
- Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
- Exhibited in the RISC-V booth at Embedded World 2023
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