דרושים » מדעים מדוייקים » אלגוריתמיקאי /ת בכיר /ה לעיבוד תמונה וראייה ממוחשבת למערכות אלקטרואופטיות מורכבות

We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities
* Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
* Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

we are looking for a talented Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities:
* Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment
* Supervise complex data pipelines, from the collection stage, through annotation, to models training
* Design and optimize deep neural networks, involving innovative feature engineering
* Take an End-to End responsibility over medium to long-term projects
* See projects through from research to deployment
* Devise and implement performance metrics
* Communicate, present and visualize results
* Align the algorithms with the product needs

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.

Responsibilities:
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions.
Clustering and dimensionality reduction.
Parametric modeling and screening.
Time-series forecasting.
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Location: Haifa \ Tel-Aviv in hybrid model.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.

Responsibilities:
Develop advanced ML algorithms using data from proteanTecs Agents embedded in silicon. Example domains include:
Lifetime predictions.
Clustering and dimensionality reduction.
Parametric modeling and screening.
Time-series forecasting.
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Location: Haifa \ Tel-Aviv in hybrid model.