דרושים » תוכנה » experienced Algorithm engineer for priority semantics team

We are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
our group is located in haifa and is responsible for enabling the deep learning and computer vision algorithms on the platform. the technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles. this is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the ai domain.
what will your job look like?
shape our product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our hardware and software
develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as tensorflow and pytorch and converts them into code suitable for execution on custom-built our hardware
use state-of-the-art open-source technologies such as mlir and work closely with the open-source community
develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ml models onto our state-of-the-art systems
develop a toolchain that will provide a quantum leap in deep learning capabilities and performance.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (adas). our cutting-edge solutions, including the eyeq chip, mobileye supervision, mobileye drive, and mobileye chauffeur, leverage computer vision and Machine Learning to enhance vehicle safety and enable self-driving capabilities. integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
in our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of autonomous driving features and advanced driver assistance systems. what will your job look like:
research, design, develop, and implement lidar based algorithms in both Python and C ++ for solving complex problems
evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
collaborate with cross-functional teams to understand requirements and develop solutions
optimize existing algorithms to improve performance and scalability

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 Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our company 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.

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.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our company 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.

We are looking for a Verification Team Leader for our team in Haifa to drive verification for next-generation PHY IPs . The PHY DV team operates at the intersection of verification, research, and innovation, continuously improving techniques, models, and flows to increase the efficiency and quality of PHY verification. This is a hands-on technical leadership role, combining deep verification expertise with team leadership and close collaboration with design, architecture, firmware, and system teams.
Description
Lead the verification team, including hiring, planning, and communication with management.
Strong teamwork and communication skills.
Responsibilities
Lead the verification team, including hiring, planning, and communication with management.
Define verification architecture and lead for execution
Own verification methodologies, standards, and best practices across the team