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We are looking for an Emulation Engineer to join our Radar VLSI team and drive the development of next-generation ASIC Sensors.
We are developing best-in-class automotive radar solutions to complement our autonomous driving platform. Joining our expert team, you will leverage our unique assets to work on cutting-edge technology in a dynamic and challenging environment.
What will your job look like?
In this role, you will build high-end Emulation environments based on new designs. The position involves building and integrating complex components, working with cross-functional engineering teams, and developing systems that will change the way we drive.
We are looking for an engineer who thrives on challenges and is committed to engineering excellence while navigating complex constraints.
Lead Emulation development for the VLSI team.
Work closely with SW, Logic, and Verification engineers.
Serve as an expert matter for your domain, with full responsibility for driving and implementing improvements and new ideas.

Required Experienced C++ Compiler Engineer for Deep Learning
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 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.

Were looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

Our EyeQ Platform Group is looking for a talented Embedded SW Developer to join our Haifa team. In this role, you will be at the heart of our SoC (System on a Chip) validation, specifically responsible for theVideo Interface Unit- the "eyes" of our autonomous driving technology.
You will write high-performance, object-oriented C++ code on our proprietary validation OS, interface with low-level drivers, and take a lead role in complex board bring-up processes. If you thrive on solving "impossible" hardware-software puzzles alongside HW engineers, this is the place for you.
What will your job look like?
Design and implement robust C++ code for multi-threaded, multi-core environments running on advanced MIPS and RISC-V architectures.
Develop Video Interface drivers and frameworks, maintaining and scaling existing systems to support next-gen SoC capabilities.
Board bring-up activities and debug complex systems on our proprietary Silicon.
Utilize on-SoC scripting engines to provide flexibility and interactive SoC usage for internal and external stakeholders.

Required Computer Vision Algorithms Developer
A global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, 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.