דרושים » חשמל ואלקטרוניקה » Senior Application Engineer

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, our company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs develops the semiconductor platforms of the future for AWS, creating amazing products with complex architectures that push the boundaries of many fields. our company Web Services, the world's largest cloud provider, offers a highly reliable, scalable, and cost-effective infrastructure platform that powers hundreds of thousands of businesses in more than 190 countries. This is an exciting opportunity to join our company and contribute to bringing our next-generation products for the cloud market to the production stage.
Key job responsibilities
Analyze foundry Wafer Acceptance Test (WAT) data from development, corner lots, and qualification lots.
Collaborate with Test Engineering (TE) and Quality & Reliability (Q&R) teams to ensure test quality.
Recommend test plans and limits for production lots, corner lots, and pre-/post-qualification lots based on system specifications, yield, and Cpk targets.
Identify quality and reliability concerns and collaborate with TE, Q&R, and Failure Analysis (FA) teams to drive resolution.
Manage Continuous Improvement Process (CIP) activities with the foundry.
Drive test-time reduction activities based on Wafer Sort (WS) and Final Test (FT) production data.
A day in the life
As a Senior Product Engineer, you will play a crucial role in ensuring that the production of Annapurna Labs semiconductor products meets our customers' demands. Your responsibilities will include monitoring and analyzing production data, collaborating with various teams including Test Engineering and Foundry, Quality & Reliability (Q&R), Failure Analysis (FA), leading process and yield improvement initiatives
optimizing throughput, enhancing test quality, and reducing test time.
In this role, you will be fully exposed to the semiconductor production flow of all Annapurna Labs products, all semiconductor testing methodologies, and FAB process yield improvement activities.

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 Design for Test (DFT) Engineer Lead, you will play a crucial role in DFT Architecture and DFT design, and support devices to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality throughout the project life-cycle, and providing sign-off DFT to tapeout.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Lead and execute DFT activities in the design, implementation, and verification solutions for 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 a DFT team planning, deliverables, and provide technical mentoring and guidance.
Lead DFT execution of a silicon project, planning, execution, tracking, quality, and signoff.

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 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, supporting the hardware and lab bring up, and verifying our ASIC systems.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
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 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.

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, our company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is looking for an IC Customer Q&R Engineer.
As an IC Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include direct work with Annapurna's customers to jointly debug failures and reduce IC related failures, support RMA analyses
In this role you will be completely exposed to the semi-conductor production flow of all Annapurna Labs products, semi-conductor testing methodologies and FAB process yield improvement activity.

Senior Electrical Systems Designer Responsibilities Lead and execute full electrical design for aircraft installation and upgrade projects across multiple aircraft platforms, in Israel and abroad

In your role as a senior PHY Algorithms Development Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of Physical Layer algorithms for wireless communication systems for our products. We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. We are meeting those needs as robustly and as creatively as possible and is interested in people who want to help meet that commitment. The success we are targeting will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problem in new ways. If that sounds like the kind of environment that you find intriguing, then let's talk.

We are looking for a candidate who can innovate and integrate signal processing technologies for solving novel and diverse sets of problems in various wireless communication and sensing technologies:
- Develop communication signal processing algorithms for best-in-class implementation of various wireless standards.
- Conduct basic research of existing solutions in literature.
- Involvement in block level spec definition.
- Perform mathematical analyses of the given problem and its proposed solutions.
- Implement floating-point simulations to prove spec compliance of suggested solutions.
- Implement fixed-point modeling and simulation to allow performance sign-off and RTL bit-exact development .
- Write detailed design documents that will enable implementation of algorithms by other teams specializing in either RTL design or DSP firmware coding .
- Optimize and fine-tune the system for spec compliance on silicon in an RF lab environment.

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, our company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is looking for an IC Customer Q&R Engineer.
As an IC Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include direct work with Annapurna's customers to jointly debug failures and reduce IC related failures, support RMA analyses
In this role you will be completely exposed to the semi-conductor production flow of all Annapurna Labs products, semi-conductor testing methodologies and FAB process yield improvement activity.

In your role as a senior PHY Algorithms Development Engineer, as part of Apple Connectivity Group, you will be part of a world-class group that pioneers design and development of Physical Layer algorithms for wireless communication systems for Apple products. We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. Apple is meeting those needs as robustly and as creatively as possible and is interested in people who want to help meet that commitment. The success we are targeting will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problem in new ways. If that sounds like the kind of environment that you find intriguing, then let's talk.

We are looking for a candidate who can innovate and integrate signal processing technologies for solving novel and diverse sets of problems in various wireless communication and sensing technologies:
- Develop communication signal processing algorithms for best-in-class implementation of various wireless standards.
- Conduct basic research of existing solutions in literature.
- Involvement in block level spec definition.
- Perform mathematical analyses of the given problem and its proposed solutions.
- Implement floating-point simulations to prove spec compliance of suggested solutions.
- Implement fixed-point modeling and simulation to allow performance sign-off and RTL bit-exact development.
- Write detailed design documents that will enable implementation of algorithms by other teams specializing in either RTL design or DSP firmware coding.
- Optimize and fine-tune the system for spec compliance on silicon in an RF lab environment.

Seeking a highly skilled and motivated R&D LCM ( (Life Cycle Management) Engineer to lead technical engineering support within R&D. The role owns technical aspects of legacy products and New Product Introductions (NPI), ensuring seamless design transfer and robust support across the product lifecycle. Acts as the primary technical interface between R&D, production, and quality.
Key Responsibilities:
New Product Introduction (NPI):
Lead the NPI process from engineering handoff to production ramp-up.
Collaborate with contract manufacturers, suppliers, and internal teams to ensure a smooth transition from design to volume production.
Lifecycle Engineering:
Provide technical support for legacy products.
Manage component obsolescence, implement design improvements, and resolve production issues.
R&D Support:
Assist in prototype development, assembly, and iterative testing.
Conduct hardware and software verification to ensure design compliance.
Evaluate and approve component replacements, alternative parts, and ECOs.
Perform component-level troubleshooting of electrical and electronic systems.
Lead RCA and implement CAPA for field and production issues.
Certification & Compliance:
Support product certification processes (e.g., EMC, Safety) and other regulatory requirements.
Ensure compliance with applicable standards and maintain documentation quality.
Production Interface:
Serve as the technical point of contact for manufacturing and QA teams.
Provide real-time engineering support on the production floor.
Ensure alignment between R&D design intent and production execution.

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 CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.