לוח משרות דרושים מהנדס אלגוריתמים בחיפה וסביבתה

We are looking for a Mid-level Data Engineer to join our growing Data/MLOps team. The team is focused on building a Data/MLOps infrastructure to support the development of ML and AI algorithms for our next generation iTero scanners.
The position is suited for engineers who like to work with data, build data infrastructure and wish to support algorithm engineers.
The position is based at our Petah Tikva or Caesarea site.
Key Responsibilities
Own significant components in a data infrastructure for AI/Algorithm development.
Work with large image/3D datasets to support the development of real-life ML/AI solutions.
Work with ML / AI engineers to identify future challenges and solutions.
Own the quality of data ingestion pipelines over time.
Consistently demonstrate innovative thinking, strong partnership and high work ethics.

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 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.

join our rem (road experience management) department - the team driving the automatic creation of high-definition maps, a cornerstone technology behind our autonomous driving and advanced driver-assistance systems. rem map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise. you will be part of our priority semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
the team uses cutting-edge technologies, including graph neural networks (gnns) and data -driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
this role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
what will your job look like?
design, train, and evaluate cutting-edge deep learning models on rem proprietary map data
perform high-scale, large-volume data analysis
integrate new map-based algorithms with full ownership
develop tools that enable fast and effective data introspection
optimize models and results where needed.

We are seeking a senior communication systems engineer to help develop the next generation of algorithms and standards that power this revolution.

Responsibilities:
Research, analyze, and develop advanced wireless communication technologies and algorithms for Ambient IoT devices, including wireless modulation, coding, and channel estimation.
Draft, present, and contribute technical proposals to standardization bodies such as IEEE, 3GPP, and Bluetooth.
As part of the Technologies team, work on strategic solutions and collaborate with engineering groups including system-on-chip, RF, system, and network to ensure cohesive product development.
Continuously learn and explore new topics as needed to support the evolving solution, including communication layers, modeling, security, and location.

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