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we are a global publicly-traded commercial-stage oncology company developing a profoundly different cancer treatment therapy called tumor treating fields (TTFields) for patients with solid tumors. TTFields therapy is a non-invasive, novel, antimitotic treatment modality that utilizes proprietary technology attempting to slow or reverse tumor progression by inducing tumor cell death.
our company's commercialized product, Optune, is approved for the treatment of adult patients with glioblastoma (GBM) in the USA, Europe, and Israel.
We are looking for Biostatistics for our Biostatistics team.
As a biostatistician, you will contribute to the statistical aspects of our clinical trials.
The role will involve the usage and implementation of statistical techniques commonly used for Oncology clinical trials.
In addition, the role will include clinical SAS programming for data verification.
This is a full time, Hybrid position as part of our team in Isarel.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Contribute to protocol development in conjugation with clinical development and operation teams and responsible to assess the feasibility of the study endpoints and develop the Statistical Analysis Plan (SAP)
Report the study results in the Clinical Study Report (CSR)
Oversight of the CRO and validate other vendors' statistical activities
Assist to provide statistical advice and advice on statistical aspects of clinical and preclinical projects
Approve statistical outputs: Table, Listing and Figures (TLFs) and the analysis datasets produced by the statistical programming team using SAS
Work within a multidisciplinary team and serve as a point of contact between clinical operation, CRO and SAS programmer within the statistical department
Provide statistical input to the study-related documents: study execution plans (including Data Management Plan), eCRF design and Edit Checks specifications, eCRF completion guidelines, data reconciliation plans
Review SAS coding and specifications
Other responsibilities as assigned.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Develop and execute comprehensive validation plans for our company's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation and/or FPGA platforms.
Lead the debugging and resolution of complex silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.

About the job
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and verification closure. You will verify digital designs and collaborate with design and verification engineers in projects and perform direct verification. You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full lifecycle of verification which can range from verification planning, test execution or collecting, and closing coverage.
The ML, Systems & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the verification of digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with Strategic Value Add (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
our company System Infrastructure build the cloud for our company services and for our company Cloud customers, by solving world business test of performance, cost, and scale, utilizing unique hardware, software, and system solutions.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the verification strategy, identify the platform to validate reasoning components.
Define the test plan and strategy with stakeholders, including sign-off and exit criteria.
Plan and execute the verification of Internet Protocols (IPs) using dynamic verification and formal verification.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Senior CPU Design Verification Engineer, you will work as part of a Research and Development team, and you will build verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers in projects and perform direct verification. You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification which can range from verification planning, test execution or collecting, and closing coverage.The ML, Systems, & Cloud AI (MSCA) organization at our company's designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company's Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog/UVM, or Specman.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Lead coverage measures to identify verification holes and to show progress towards tape-out.

About the job
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the formal verification strategy and create the properties and constraints for digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
Contribute improvements to methodologies to enhance formal verification results. Resolve difficult to verify properties.
Architect and implement reusable formal verification components.

We are looking for a Design Verification Infrastructure Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities:
Own the development infrastructure for the Logic Design & Verification group at proteanTecs.
Define, develop, and maintain the groups development infrastructure to automate workflows while ensuring usability, flexibility, and clear visibility into results.
Define, develop, and maintain the groups IP compiler used to generate custom IP according to customer needs and preferences.

​​We are looking for highly motivated Engineers who love the challenge and the opportunity of a growing company. Join us and be a part of a small and dynamic team, which is revolutionizing the parallel processor architecture.

our company, a world leader in driver assistant systems and autonomous vehicles, is looking for talented silicon validation engineer for the range of its next generation SoCs supporting its radar systems
Our team is responsible for validating our company's radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

Which department will you join?
The SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

Which department will you join?
our companys Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of
our companys 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 companys 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 company's 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.