דרושים » ייצור ותעשייה » Regulatory Compliance Certification Manager

As Manufacturing Engineer, you are responsible for the end-to- end manufacturing processes of CT detectors in the clean room environment, maintaining efficiency, reducing costs, improving sustainability, and maximizing profitability through tools and equipment of the manufacturing systems, leading to predictable, reliable, stable and efficient production processes.
In this position, you will play a crucial role in Haifas detection center, overseeing both established and new assembly processes and driving initiatives for manufacturing process optimization

Responsibilities:
Monitoring both automated and manual assembly processes in clean room environment
Support line-downs and troubleshoot problems associated with manufacturing processes
Initiating and overseeing process technology development activities
Accountable for process and manufacturing requirements based on Product Specifications
Provides active inputs on improving the manufacturability of new products at the release stage.
Identifying, designing, implementing and validating manufacturing processes, tools and equipment enabling quality and efficiency.
Preparation & Release of Work instruction, PFMEA, Process validation docs etc.
Executing processes with compliance to safety, regulatory- and environmental requirements as well as local laws, Philips General Business principles and other policies.

About the job
A problem isnt truly solved until its solved for all. Thats why our companyrs build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at our company, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager for Silicon Development, you will use your technical and management experience to lead the development and execution of complex, multidisciplinary SoC projects. You will plan programs and manage their execution from early concepts through development to tape-out and production. You will collaborate closely with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution life cycle. This includes making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.

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, coordinate, and deliver custom silicon products.
Assess complexity and scope out the project, generate task lists, build a project timeline and work with the teams to make it into reality.
Lead the data-driven schedules and milestones, track the progress, proactively identify potential future issues, and identify mitigations with the team leaders.
Drive technical, budgetary, and schedule trade-off discussions with cross-functional teams.
Manage project execution and issues through design, development, test, manufacturing, deployment and sustaining activities for silicon and hardware products.

A Senior Security Engineer is expected to be proficient in multiple domains. This is a leadership role within the Annapurna security team and you will be sought out for advice on technical and business issues. Efficient time management skills are required along with the ability to deliver results in the face of uncertainty. A Senior Security Engineer will proactively share knowledge across the community and will be a key company resource in one or more of the core areas of security. He will lead security reviews of large projects while setting standards and defining best practices for our Security teams.

Engineers in this role must show exemplary judgment in making technical trade-offs between short versus long term security and business goals. They must also demonstrate resilience and navigate difficult situations with composure and tact. A broad understanding of the business and its interconnections is required. This position will also provide training, advice, and mentorship to other engineers throughout us.

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 the DFT Senior Engineer, you will play a crucial role in DFT Architecture and DFT design, and support devices of extreme complexity to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality matrix throughout the project lifecycle, and providing sign-off DFT to tapeout.
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's 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's 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
Lead and execute activities in the design, implementation, and verification of DFT solutions for large-scale Application-Specific Integrated Circuits (ASIC).
Develop DFT strategy and architecture, including hierarchical DFT, Memory Built-In Self Test (MBIST), and Automatic Test Pattern Generation (ATPG).
Work with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Manage the DFT team's workload and deliverables, provide technical leadership and guidance to the team.
Lead DFT execution of a silicon project - planning, execution, tracking, quality, and signoff.

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 SoC Product Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to support the machinery that goes into our data centers affecting our company users.
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 implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, DPPM reduction, Test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and System Level Test (SLT).
Drive interactions with wafer fabs and OSATs, own and drive checkpoints for key quality metrics.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and RMA handling.
Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Q&R, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.
Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support.

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.
In this role, you will help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-specific integrated circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, assisting in the hardware and lab bring up, and verification of our ASIC systems.
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
Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.
Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.
Create tooling and automation to support emulation Electronic Design Automation (EDA) tools, licensing, and job management in our company infrastructure.
Support emulation team members with debugging hardware, tooling, and project specific issues.
Help to bring up external interfaces (e.g., USB, PCIe, Ethernet, etc.) on the emulation platforms, and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

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.
our company has ongoing or completed clinical trials and is further expanding its efforts into several other solid tumor indications - non-small cell lung cancer, pancreatic cancer, and other types of solid cancers.
We are looking for a highly motivated and experienced Mechanical Engineer who will join our mechanical team and be responsible for designing and maintaining our companys new and current products, focused on consumable wearable products.
The Mechanical Engineer will work on exciting projects to support our expanding portfolio of products related to our cancer treatment device from concept all the way through manufacturing, taking into consideration quality, regulation, cost-effectiveness, and manufacturing feasibility.
ESSENTIAL DUTIES AND RESPONSIBILITIES:.
PCB and PCBA design for HW engineering.
Multidisciplinary products
Customized design and consideration of manufacturability as part of the design
Rigorous analyses of designs using appropriate methods such as FEA and dimensional tolerance analysis.
Consider automated production requirements as part of the design.
Evaluate requirements and determine mechanical requirements for the design and development of consumables.
Drive component and integration testing to verify that prototypes and production components/constructs meet design intent.
Assess requirements and set the mechanical requirements for the design and development of consumables.
Provide the data for a full production file (3D files, drawings of mechanical parts, assembly drawings and instructions, BOM)
Contact and manage suppliers and subcontractors for manufacturing.
Liaising with suppliers and production sub-contractors.
Conduct relevant research
Producing and implementing designs and test procedures
Perform the actual testing, evaluating, measuring, modifying, and re-testing of the design
Generate test reports and documentation.

About the job
our company's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets our company's standards of quality and reliability.
As a Chip Infrastructure Engineer, you will plan and execute work in an innovative and fast-paced environment, with a focus on infrastructure that enables design and verification teams to produce the chips that power our company's computing needs. You'll be part of the chip infrastructure team responsible for compute, storage, common chip design components, and front-end tool flows.
In this role, you will work with architects, logic designers, and verification engineers to develop flows to build and verify SoC chip designs. Youll also work closely with software, physical design, silicon bring-up and validation teams to enable a successful software integration, implementation, silicon bringup and deliver quality silicon.
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's services (Search, YouTube, etc.) and our companys Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company's 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's Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Work with partner teams to provide the compute, storage and methodology needs of the chip design, verification and physical design teams.
Collaborate with Application-Specific Integrated Circuit (ASIC) teams to implement tools and methodologies.
Design and implement CAD tools, solutions and methodologies for ASIC development.
Extend the capabilities of third-party tools through their dedicated APIs.
Provide documentation, training, and support to increase end user productivity.

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 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.