Imagry | Autonomous Driving

About the Company

Imagry is pioneering Generative Autonomy: real-time intelligence that drives machines in the physical world. Our AI-centric platform, Imagry Cortex™, delivers vision-based autonomy without HD maps, LiDAR, or the cloud. Unlike rule-based systems, Cortex learns from experience and adapts to any road, vehicle, or condition, just like a human, only better. Already deployed across transit and fleet vehicles, Imagry is solving the scalability challenge for both public transportation and passenger cars. Our real-time, hardware-agnostic architecture integrates seamlessly with existing platforms, giving automakers and transit operators a cost-effective, production-ready autonomy solution. The next leap in GenAI isn’t a chatbot. It’s a driver. Today we drive buses and cars. Tomorrow, we power every intelligent machine that moves. Imagry’s technology is already deployed on public roads, including the first commercial autonomous bus in Israel, and is being integrated by global automotive leaders. Imagry is leading the charge toward scalable, real-time autonomy that works anywhere. For more information, visit www.imagry.co.

Listed Jobs

Company Name

Imagry | Autonomous Driving

Job Title

Deep Learning Engineer

Job Description

**Job title** Deep Learning Engineer **Role Summary** Develop, train, and deploy advanced computer‑vision deep‑learning models for autonomous driving. Own end‑to‑end projects from research to production, ensure alignment with product requirements, and drive performance improvements across data pipelines. **Expectations** - 4–5 years of industry experience in deep learning or computer vision. - Proven track record of delivering research‑grade models to production in a safety‑critical context. - Strong problem‑solving, communication, and collaboration skills across cross‑functional teams. **Key Responsibilities** - Design, train, optimize, and validate novel vision‑based deep‑learning architectures. - Own medium‑ to long‑term projects from concept through field deployment. - Define and implement quantitative performance metrics and evaluation procedures. - Monitor, maintain, and enhance complex data pipelines: acquisition, annotation, preprocessing, and model training. - Present findings, visualizations, and results to stakeholders and influencers. - Translate product needs into algorithmic solutions and iterate based on testing feedback. **Required Skills** - Deep‑learning frameworks (PyTorch, TensorFlow) and experience with CNNs, transformers, or related architectures. - Expertise in computer‑vision tasks: object detection, segmentation, depth estimation, tracking. - Strong programming in Python, CUDA (optional), and version control (Git). - Familiarity with big‑data processing tools (Spark, Dask) and pipeline orchestration (Airflow, Prefect). - Knowledge of model compression, quantization, and inference optimization for edge devices. - Ability to work in an agile environment and manage multiple concurrent initiatives. **Required Education & Certifications** - Bachelor’s (or higher) in Computer Science, Electrical Engineering, or related field. - Optional certifications in machine‑learning or deep‑learning platforms (e.g., AWS SageMaker, GCP AI).

San jose, United states

On site

Junior

20-11-2025