Experienced Deep Learning Software Engineer - Algorithms & Data
Ramat Gan, Israel
R&D – Software /
Full time /
Hybrid
Our team develops models for road perception. We turn multi-sensor inputs (vision, maps, and more) into models that understand road geometry and behavior. We work at the intersection of algorithms, DL models, infrastructure, and data engineering.
what will your job look like?
- Own road data pipelines end to end: tools for datasets and databases, running across S3 and on-prem
- Design algorithms on large-scale vision and multi-sensor data (maps, sporadic inputs), including geometric reasoning from 2D image space to 3D world space for perception and world modeling
- Implement and develop algorithms for the AV production system
- Build evaluation tools, algorithms, metrics, and related infrastructures
All you need is:
- Bachelor's degree in Computer Science or equivalent
- 3+ years in software development and data pipelines
- Familiarity with deep learning and the model development lifecycle
- Strong Python and standard data libraries
- Experience with cloud development and distributed data pipelines
- Eagerness to learn, experiment, and go deep - technically and conceptually
- Strong C / C++- an advantage
- Experience with deep learning and transformers- an advantage
- Data-oriented mindset- an advantage
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!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
