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Were looking for a Physical Design CAD Expert to join the growing Technology Methodology & Execution team, that is responsible for developing both Technology Methodologies & Flows for all products and processes and the execution of complex Subsystems/IPs for our next generation Imagining Radar SoC from definition to Tape-Out.
What will your job look like:
Participate in the development of flows & methodologies from Synthesis , Place& Route & all signoff flows.
Plan & execute flow releases, coordinate & track development tasks.
Exploration of different methodologies from P&R till signoff to improve PPA & Turnaround time.
Evaluation of new tools features and methodologies to bring innovation with significant RoI.
Hands-on physical design block ownership end to end, from Synthesis floor planning, Place & Route with target to achieve best PPA.
Signoff on all domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.
Serve as the technical lead while mentoring and guiding team members.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Our Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of our future AI and deep learning HW accelerators.
This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver our EyeQ future chips, aimed to power the worlds first fully Autonomous Vehicle!
What will your job look like?
Define, implement and enhance verification environments using UVM methodology.
Write and debug tests that combine UVM methodology and SW code.
Identify and write various types of coverage measures.
Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.

Our Automated Driving group in Haifa is looking for a Junior 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:
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).

Our EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects\designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf.

We are seeking a skilled Failure Analysis (FA) Engineer with expertise in X-ray inspection techniques to join our AV Platform team. The ideal candidate will specialize in using advanced X-ray imaging and other analysis methods to investigate product failures, identify root causes, and provide actionable insights to improve product quality and reliability
What will your job look like?
Perform detailed failure analysis using X-ray imaging systems and related diagnostic tools to inspect electronic components, assemblies, and materials.
Interpret and analyze X-ray images to detect structural anomalies, defects, voids, cracks, delamination, and other failure mechanisms.
Develop and optimize X-ray inspection procedures and protocols for failure analysis and quality control.
Prepare test specimens: cutting, mounting, grinding, polishing and chemical etching
Collaborate with product engineering, quality assurance, and manufacturing teams to support product development, troubleshooting, and continuous improvement efforts.
Prepare detailed technical reports documenting findings, root cause analyses, and recommended corrective actions.
Support reliability testing and failure mode analysis for new and existing products.

Our Automated Driving group in Haifa is looking for an experienced SoC Design Engineer for DFT team.
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).

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

We're looking for an Experienced CAD or Design Automation Engineer to develop our RF/Analog design tools/flows and automation flows for the next-generation Imaging Radar chips.
What will your job look like:
Build and support RF/analog design environments
Implement, develop, and maintain design flows, tools and scripts.
Evaluate and explore new automation technologies and advocate for efficiency improvements
Evaluate multiple vendor solutions and guide execution, in the most optimal use, based on design needs
Effectively communicate and support a large number of designers, providing high-quality tools and flows, documentation, and presentations.

Senior Simulation Engineer L4 Group
our company, your number one vendor of autonomous driving software, is looking for a die-hard Simulation Engineer ready to take on a Manhattan-scale project under a tight schedule. If you're passionate about high-impact simulation infrastructure and thrive in fast-paced, innovative environments, we want to talk to you.
Responsibilities
Design and build scalable simulation infrastructure for testing autonomous driving systems
Collaborate closely with algorithm teams to create realistic and efficient simulation environments
Lead architectural decisions and own the design of core components
Tackle complex backend and cloud-native challenges from day one
Implement a CI/CD infrastructure to support slick and efficient versioning of all stack submodules from different AB teams
Integrate an external closed-loops simulation solution with our autonomous driving stack, work closely with external vendors.
Coordinate between Algo SW and Infra teams to provide fast scalable and consistent solutions.

We are seeking an Experienced Backend to join our growing Physical Design team. In this role, you will play a key part in the design of state-of-the-art SoCs, 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.
Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.

we are looking for an experienced VP of L4 System Engineering (hands-on) to take ownership of the robotaxi (L4) platform covering both software and hardware integration.
Responsibilities
Lead and mentor a team of 4 engineers
Own the system architecture, software stack, and hardware integration.
Oversee installation, setup, and bring-up of sensors, ECUs, and vehicle systems.
Design and develop real-time infrastructure in C++ and Python.
Collaborate closely with AI, hardware, and vehicle engineering teams to ensure full system functionality and performance.
Drive debugging, validation, and optimization activities across the full stack.

We are looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports our Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers.
The Data Center Engineering Operations Facility Engineer is responsible for operating and maintaining all electrical, mechanical, and fire/life safety equipment within the data center. This person serves as a technical resource to support us within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. DCEO Facility Engineers are also tasked with driving innovation while reducing operational costs in the facilities.

DCEO Facility Engineers are our front line responders for hands-on electrical and mechanical equipment troubleshooting and operation. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers, cooling towers, chemical treatment systems, pumps, motors, VFDs, and building automation systems.

Key job responsibilities:
- Operate and maintain mechanical and electrical equipment.
- Perform root cause analysis of equipment failures.
- Troubleshooting of facility and rack-level events within internal SLA.
- Ensure all safety procedures are adhered to while performing work.
- Able to work a 8/12 hour shift (rotating work days during the weeks).
- Take daily operational readings of all mechanical and electrical equipment.
- Utilize internal CMMS to manage building workflows.

Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Looking for exceptional senior engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design and verification activities, working on the next generation of our products.

You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.