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We are seeking a skilled and experienced Network Expert to join our team.
The Network Expert will be responsible for designing, implementing, and maintaining our organization's network infrastructure.
This role requires strong technical expertise in network architecture, protocols, security, and troubleshooting.
The ideal candidate will have a passion for technology, excellent problem-solving skills, and the ability to work well both independently and as part of a team.

As formal Verification Engineer you'll own verification tasks from planning through execution, collaborating with experienced engineers across multiple teams to ensure design quality while meeting challenging timelines of the Graviton product line. This is an excellent opportunity for motivated engineers to grow their formal verification expertise in a supportive, high-impact environment.

What We Offer:
Mentorship from formal verification experts.
Hands-on experience with cutting-edge cloud compute.
Clear career growth path within us.
Opportunity to impact products used by millions globally.

Key job responsibilities:
- Plan and execute formal verification plans under guidance from senior engineers.
- Develop formal test-benches for design modules.
- Debug formal verification failures and analyze root causes.
- Collaborate with design and verification teams to resolve issues.
- Learn and apply new formal verification methodologies and tools.

We are looking for System Software student to help us develop the semiconductor platform which is based on revolutionary architecture.

Join a dynamic team developing products for disruptive system architectures that power the worlds largest cloud provider. Work on essential networking and storage technologies in an open, fast-paced environment.

Key job responsibilities:
Learn and shape how the cloud operates 'behind the scenes' today while driving the innovation that defines its futuremaking it more secure, faster, and robust. This challenging and exciting role offers opportunities to contribute across diverse domains, including embedded development, host stacks, and internal services. Youll work with frontline technologies, tackle multidisciplinary challenges, and make impactful decisions. Joining Annapurnas system group connects you with numerous teams, enabling you to make contributions on a company-wide scale.

Our Automated Driving group in Haifa is looking for an experienced DFT Engineer.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting edge technologies - Autonomous Vehicle (AV) SoC.
At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
You'll be responsible of architecture of the DFT solutions across the SOC (MBIST, SCAN ATPG, LBIST and more)
Develop all the necessary HW / FW / SW for the different modules
Verify and Validate our design
Debug and analyze coverage and yield loss
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts as it required by the Automotive and Safety related products market (ISO26262).

Required Experienced C++ Developer
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 in Haifa and is responsible for enabling deep learning and computer vision algorithms on the platform. We develop the software architecture system and tools to enable state-of-the-art algorithms to run efficiently in vehicles contributing to saving lives and enabling autonomous vehicles. We use cutting-edge technology stack and design methodologies, to achieve optimized and robust solutions to support different customers across the globe.
What will your job look like:
This is an exciting opportunity to write and design an application from scratch!
The car application controls the main execution flow of various software components running on the company chip, in addition, it also controls many sensors and manages their inputs, sensors such as camera, lidar, radar, and other car signals (speed, etc.)
The application combines all the different inputs and feeds them into the different algorithms, to create a worldview for the car.
The project is challenging in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Work on well-designed, high-performance software while handling exciting and challenging projects.
The development is mostly done in C++ for Linux, while focusing on high coding and design standards.

Our DDR SoC team is looking for an experienced verification engineer to be involved in the development of our current and future SoC.
Working on the cutting-edge technologies to deliver our EyeQ SoC family for ADAS and autonomous vehicles.
What will your job look like:
Verify the SoC DDR interface including the integration of advanced DDR controller and PHY.
Build block level Verification of the DDR interface
VIP integration for interface protocols and DDR.
Collaborate with designers, architects and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Write and debug tests that combine UVM methodology and SW code.
Define, develop, and execute complex verification scenarios on the DDR interface.

Required Computer Vision Algorithms Developer
Mobileye is a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, Mobileye SuperVision, Mobileye Drive, and Mobileye Chauffeur, 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.

We are looking for a Teach Lead to join our Team.
Our group is responsible for writing new code to replace the existing code with a new design.
We develop the software architecture system and tools to enable support for many new design wins and scale the company project to run efficiently in vehicles contributing to saving lives and enabling autonomous vehicles.
What will your job look like?
You will be part of the design of the car application that controls the main execution flow of various software components running on the chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Provide guidance and mentorship to software development teams.
Defining work process tools and technologies to enforce our customers' requirements.
Working in a large group of software developers with cross-team collaboration.