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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.

the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment

you will be part of our rem (road experience management) department, which is responsible for the automatic high-definition map-making process, which is a key technology in autonomous driving and high-end driving assistance systems. vision-based localization is a key enabler for utilizing and creating the maps. our group is responsible for aligning the map with the world, and reporting detected changes during the drive. our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time. what will your job look like:
develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

come be part of our company, the industry leader in ai data centers. we are now innovating the future of data center, and defining the next generation of networking solutions. our team is dedicated to pushing boundaries and overcome the challenges involved in providing high performance data centers. as a network rdma algorithms architect, you'll contribute to our creative and cooperative setting, focusing on the connectx network adapter, spc-x end to end solution and more exciting technologies.
what you'll be doing:
conduct research and analysis on networking solution and end to end algorithms.
work with a creative and experienced team to outline the next generation of our rdma load balance and congestion control algorithms.
work on simulation environment and on real hw systems
engage with other research teams to develop proof of concepts using our technology.

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.