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Required Experienced DFT Engineer
The EyeC VLSI team designs cutting-edge chips for RADAR systems used in ADAS and autonomous vehicles and is looking for an experienced DFT Engineer.
This is a unique opportunity to join a team of top-tier engineers working with the most advanced technologies to develop Autonomous Vehicle (AV) SoCs. Every engineer in our team plays a broad and diverse role, taking on significant responsibilities, being involved in critical development stages, and making a direct impact on the success of our projects.
What will your job look like:
You'll be responsible for the architecture of DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more)
Develop all the necessary RTL for the different modules
Verify and Validate your design in GLS
Develop ATPG patterns to the highest requirements of Functional Safety (ISO26262).
Debug and analyze coverage and yield loss
Support production activities and Si debug.

Required Experienced C++ Software Developer
Join our Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving.
This role requires arriving to Jerusalem at least twice a week.
What will your job look like?
Development of the AV Applications (add new features, improve the design, literature review as needed, etc.)
Maintenance of the AV Applications (address bugs and issues for internal and external customers)
Development and automation of the surrounding tools.

Were looking for a Backend Engineer to join the growing Physical Design Team, responsible for state of the art SoC design from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner from RTL to GDS.
Floorplan exploration with guidance and collaboration with front-end and architecture teams.
STA: work with FE and floor planner to manage block and top level constraints and 1st level of timing analysis.
Synthesis exploration and final synthesis netlist: Scan insertion @ synthesis, clean checks from Lint, UPF & Spyglass.
Place & Route: from Synthesis netlist to final layout and signoff verification with target to achieve best power performance and area.

We are looking for an Embedded Software Engineer to join the development of state-of-the-art automotive imaging radar technology.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our assets and expertise in this field. Introducing best in class Radar sensor that would complement our end-to-end autonomous driving solution platform
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like?
Develop embedded Software / FW for RTOS-based embedded system
Participate in System Level Design and Architecture defining hardware-software interface and interaction.
Successfully collaborate with system, algo, silicon, and hardware teams
Support system integration.

Our Imaging Radar group develops innovative high-performance Imaging Radar solutions for ADAS and Autonomous Driving markets. We are looking for a Software Architect to join the development of state-of-the-art products in mmW frequencies.
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like:
Clearly define the requirements. Research the hardware, firmware, and software existing support and define the solution to match the requirements.
Hands-on resolution of complex issues
Resolve issues raised during implementation stages or feedback from customers.
Develop & communicate high-level designs and technical specifications
Define responsibilities of system components and interfaces
Identify risks and propose solutions in system designs
Define aspects of development; appropriate technology, workflow and standards
Evaluate existing system designs and propose improvements
Collaborate with other architects
Foster innovation through research, recommending the use of new technologies, processes or standards
Prepare, lead and participate in design reviews
Take part in all phases of the software development cycle.

We are looking for a senior DSP Algorithms Optimization Software Engineer to join the development of the next phase of a Software Defined Radar. Involves embedded code, ultra high speed real-time host application, and signal processing. You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of innovative technology in its early stages.
What will your job look like?
Design, build and optimize modules that compute very complex algorithms in real-time on embedded/DSP environment, with memory and bandwidth constraints
Work closely with algorithms teams to produce algorithms that better map to DSP environment.
Design, build and test a real-time application that manages and orchestrates several DSPs that run compute modules.
Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization.

Required Algorithms Engineer - 3D Perception
Which department will you join?
The AV sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors.
This role requires working at our Ramat Gan offices at least 2 days per week.
What will your job look like:
Develop algorithms for processing and validating 3D sensor data
Build and maintain geometric libraries and tools for spatial data processing
Combine classic programming with algorithm development in Python
Work on problems involving 3D geometry, coordinate systems, and sensor calibration
Take ownership of algorithmic challenges from research to production implementation
Collaborate with other teams to integrate solutions into the broader system.