דרושים » חומרה » Hardware Team Lead

Required Senior SoC Hardware Quality and Reliability Engineer
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
We're the driving force behind our 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 Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Own technical specifications, architectural definitions, and physical power-on of custom qualification vehicles (HTOL load boards, ESD fixtures, latch-up rigs). Drive external layout vendors to achieve seamless electrical correlation with ATE environments.
Govern execution quality of applied stresses, define electrical, thermal, and telemetry parameters on test vehicles to ensure uniform, valid stress profiles without unintended overstress or setup artifacts.
Lead the end-to-end engineering delivery lifecycle for qualification hardware, map and drive critical cross-functional dependencies across internal validation and product engineering teams to ensure on-time readiness.
Serve as the primary technical interface for external PCB layout houses, fabrication shops, and component suppliers; manage design reviews, track lead times, and enforce delivery schedules.
Lead laboratory troubleshooting for qualification hardware anomalies; isolate setup/socket faults from true silicon failures and drive supplier corrective actions (CAPA) when board excursions occur.

Required ChipDev CAD Engineer, Hardware, Cloud
About the job
Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
You will have the opportunity to find the perfect blend of software design practices and hardware development complexity. Whether your strength is in software coding, with a good understanding of hardware, or you are a hardware engineer with software proficiency, this balanced role will let you shine in both disciplines at the same time.
Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
Create software solutions that improve the hardware design process through automation. Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow.
Work directly with the hardware team on projects prototype and then deploy tools to make a positive impact on our chip hardware development process. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the issues and the impact on hardware and quality.

We are seeking an experienced HW Team Leader to drive the engineering efforts behind our electronic systems. This role will focus on enhancing the testability, production efficiency, and quality of our products by defining Design for Testability (DFT) strategies, developing production test solutions, and leading failures investigation and correction.
What You'll Do:
Lead and mentor a team of highly skilled hardware engineers.
Drive execution in a fast-paced, multi-project environment.
Own and evolve our Design for Testability (DFT) strategy and guidelines.
Lead end-to-end development of production test solutions and test facilities.
Drive root-cause investigations, failure analysis, and product improvement initiatives.
Collaborate closely with R&D, manufacturing, and quality teams to ensure product reliability and production readiness.

Were looking for a talented Hardware Engineer to join our innovative team.
Responsibilities
Design, develop, and validate hardware boards for advanced radar and chip-based systems, with a strong focus on digital circuitry and power supply design.
Perform hands-on lab work (HO), including board bring-up, debugging, troubleshooting, repair, and continuous improvement of existing hardware.
Define, write, and execute comprehensive test plans and test setups for board-level validation.
Analyze test results, characterize performance, and document findings, including detailed test reports, failure analysis, and corrective actions.
Support schematic design activities and contribute to the development and maintenance of design environments and databases for EDA tools.
Experience with SI/PI simulation tools.
Collaborate closely with lab technicians, engineers, and cross-functional teams to ensure efficient execution of lab activities and project goals.
Take an active role in prioritizing tasks, driving technical decisions, and owning deliverables end-to-end.

Required Silicon Test and DFT Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're behind groundbreaking innovations, empowering the development of 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 Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.

We are a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Photonics R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis. You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment. This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
* Lead experimental and theoretical R&D efforts for the development of Prismas next-generation distributed fiber-optic acoustic sensing systems.
* Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
* Develop system -level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
* Build software tools and simulations in Python, C ++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
* Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
* Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
* Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
* Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
* Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.

FUSE is building the next generation of autonomous defense technology: intelligent robotic systems and multi-domain platforms that redefine how forces operate, sense, decide, and act. Our systems work alongside human operators for surveillance, strike, and mission support
At FUSE, we bring together industry pioneers into one agile organization under our company, combining the speed, sense of ownership, and innovation culture of a startup with the manufacturing power and operational strength of a global defense leader. Our teams own the full stack end-to-end, from mechanical design, hardware, and embedded systems to robotics, autonomy, AI, and real-time multi-platform decision-making
Here, technology goes from concept to operational deployment. Fast. Your work doesn't sit in a backlog. It takes off
We are looking for
We're looking for a Senior System Engineer to own payload integration for autonomous platforms. You'll architect communication interfaces between EO/IR sensors, laser rangefinders, and flight systems. Your work directly enables precision targeting and real-time intelligence for MUM-T operations
In this role you will
Define system architecture for payload integration on autonomous platforms
Design and validate communication interfaces between EO/IR sensors, LRF lasers, and mission computers
Own requirements flow-down from platform level to payload subsystems
Lead technical reviews and interface control document development
Troubleshoot system-level issues across hardware, firmware, and software boundaries
Collaborate with hardware, software, and flight test teams to validate end-to-end performance
Support flight tests and analyze system performance data
Drive trade studies for payload capabilities and mission configurations.

We are looking for a Systems Engineer to take ownership of complex multidisciplinary systems from early definition through integration, validation, and field deployment.
In this role, you will bridge hardware, software, algorithms, sensing, and mechanical engineering, ensuring that every part of the system works together to deliver reliable performance in real-world environments. This is a hands-on position that combines technical depth with a broad system perspective, where you will work closely with a small, experienced team to solve challenging engineering problems and drive innovative

We are seeking a highly driven, hands-on Operations Production Engineer to join our Operations & Manufacturing team. In this role, you will serve as the primary operational link to our Contract Manufacturers (CMs), drive the end-to-end NPI handoff process into steady-state production, manage legacy product lines, and streamline the production-side RMA pipeline.
If you thrive in a high-growth, fast-paced hardware environment, love diagnosing complex manufacturing challenges, and are passionate about continuous improvement, this is the role for you.
Key Responsibilities:
Contract Manufacturer (CM) Management & Line Ownership:
CM Operations & Execution: Drive day-to-day operational and technical alignment with external CMs to ensure high build execution, product yield, and strict adherence to quality and schedule targets.
Manufacturing Bottlenecks: Identify and resolve yield drops, component shortages/substitutions, or assembly issues directly with vendor engineering teams.
ECO/ECN Release: Oversee engineering change implementation across active production runs at the CM, maintaining clear configuration control.
NPI Composition Handoff & Legacy Product Support:
NPI to Production Handoff: Lead the operational composition and transfer of new product introductions (NPI) from R&D into scalable volume manufacturing at the CM level.
Legacy Product Management: Maintain operational health, sustaining engineering, and end-of-life (EOL) management for legacy product lines to ensure ongoing delivery stability.
Process Documentation: Define standard operating procedures (SOPs), assembly routing, build packages, and work instructions for incoming product variants.
Production RMA Process:
RMA Pipeline Management: Take ownership of the production side of the Return Merchandise Authorization (RMA) process, ensuring rapid triage, dispositioning, and turnaround times.
Feedback Loop: Feed critical quality, design, and manufacturing insights back to R&D and Quality teams to drive design-for-manufacturability (DFM) improvements.
Continuous Improvement:
Yield & Efficiency Optimization: Track key operational metrics (First Pass Yield, Scrap, Cycle Time) and implement engineering fixes to minimize waste and reduce lead times.
Tooling & Fixturing: Coordinate with suppliers to design, validate, or upgrade assembly fixtures, jigs, and test setups.