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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

We are looking for a hands-on Senior Path Planning Algorithm Engineer to design and develop the core planning intelligence of our autonomy stack - responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role is key to turning perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities:
Design and develop Path Planning algorithms for L2+ up to Eyes-Off autonomy
Build planning components such as:
path generation and refinement
constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
optimization-based planning and feasibility checks
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ with real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Participate in architecture discussions, design reviews, and code reviews
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios.

Required Deep Learning Algorithm Developer - ADAS group
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

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.

Required Staff Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

This role is highly collaborative and requires work with multiple HW and SW teams to analyze and optimize HW and SW performance.

Perform system level analysis and simulation of imaging systems using Matlab and/or Python
Define and analyze lab characterization tests
Analyze large data sets from factory and / or field to gain insight into HW / SW performance and user behavior
Create and maintain specification documents and their ties to user experience on one hand and component specification on the other
Collaborate and drive cross functional teams
Manage project deliverables and schedules to meet commitments to other development teams

We are looking for a talented communication PHY algorithms engineer to join our
growing, highly motivated, and skilled modem research team, to lead and participate in
research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.
Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Guide and support the FW, DSP and FPGA teams for concept implementation and debug.
Analysis and debug of PHY algorithms behavior and performance improvements.

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

Responsibilities:
Conduct cutting-edge research and experiments in computing and mathematics.
Develop and optimize mathematical algorithms and computations.
Explore new approaches in graph theory, clustering, and related fields to advance a pioneering general-purpose coprocessor architecture.
Analyze data and apply machine learning techniques to improve performance and insights.
Contribute to technical blogs, whitepapers, and scientific publications.
Collaborate with cross-functional teams to translate research into practical solutions.

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 expanding our algorithm team working on operational defense command-and-control systems and are looking for a Senior Tracking and Data Fusion Algorithm Engineer. This role focuses on the development of real-time multi-target tracking and sensor fusion algorithms deployed in mission-critical environments This is not a pure ML position. It is a model-based tracking and estimation role with operational deployment responsibility.

we are a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? we are the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.
Here at our company, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices - we work with the world's largest and most notable companies in tech.
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 a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? we are the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.
Here at our company, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices - we work with the world's largest and most notable companies in tech.
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.