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We are looking for a Senior Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; youll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers.

Responsibilities
Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages.
Supporting customers with analytics platform problems solving and new features introduction.
Drive integration of proteanTecs analytics platform within customer environments, bridging silicon, test, and system-level domains.
Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms.
Troubleshoot complex silicon/system issues through data-driven insights.
Partner with internal stakeholders (design, software, product) to influence roadmap and execution.
Act as a technical professional in customer onboarding, support, and ongoing engagement.

We're looking for an experienced, customer-obsessed Senior Director, Technical Support to lead our global Technical Support domain and scale the people, processes, and AI-driven technology behind it as we grow.
Reporting to the Chief Customer Officer, you'll lead a global team of ~20 support engineers and partner closely with Customer Success, R&D, Product, and Sales Engineering to ensure every enterprise customer gets exceptional technical guidance. A core part of the mandate is modernizing how we support customers - leveraging AI, automation, and self-service to scale quality without scaling headcount linearly. You'll bring deep technical understanding of enterprise software and cybersecurity, strong operational leadership, and a track record of building high-performing global teams.
Responsibilities:
Lead and develop our global Technical Support organization: hire, coach, and grow TLs and individual contributors, and build a culture of ownership, technical excellence, and continuous learning.
Own global support operations and strategy end to end, delivering fast, consistent, high-quality outcomes across regions and time zones, backed by scalable processes and organizational design that keep pace with our growth.
Lead the AI transformation of the support function: deploy AI-driven workflows, automation, and self-service to speed up resolution, deflect volume, and scale quality without scaling headcount linearly.
Own the support KPIs: SLA compliance, CSAT, response and resolution times, backlog health, and escalation management.
Be the bridge between customers, Support, Product, and R&D: surface critical escalations, make the case for the fixes that matter, and influence the product roadmap.
Serve as the executive escalation point for complex customer issues, coordinating cross-functional resolution when required.
Partner with Customer Success, Professional Services, Sales Engineering, and Sales to deliver a seamless end-to-end customer experience.

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 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 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.

Required Senior Software Engineer, CPU, Cloud
About the job
In this role, you will work at the center of our most strategic infrastructure investments. You will join a high-impact team operating on the critical path of our hardware and software evolution, bridging the gap between compute infrastructure and the massive scale of our software stack. You will be responsible for defining the methods and technologies required to model, simulate, and analyze complex hardware systems, with a core focus on security, performance, and correctness analytics, ensuring the efficiency of our future compute platforms. As a software engineer in this group, you will act as an architect, designer, and coder taking ownership of your goal and working in close partnership with cross-functional teams to make it a reality.
You will be at the intersection of hardware design and software optimization for our next-generation high-performance compute cores. You will not just support existing infrastructure; but will be helping build the foundation of our future hardware. Because this work is on the "most critical path" for our future, you will have visibility into and influence over the core technology that powers our most intensive services. You will bridge the gap between silicon-level security research and massive-scale software implementation, working with experimental AI tools that are shaping how we verify and optimize future hardware. You will be building the foundation of our future hardware.
Responsibilities
Drive performance modeling and analysis for next-generation CPUs, while identifying architectural bottlenecks, ensure system correctness, and implement optimization strategies across hardware-software stack to maximize efficiency for compute workloads.
Design, develop, and maintain software modeling tools and simulation environments, leverage C++, Python, and AI-driven methodologies to perform studies and automate analytical workflows.
Conduct security analysis and threat modeling for hardware-software interfaces, while developing and implementing methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring systems meet safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles, actively contribute to expanding the team's suite of AI-assisted capabilities.
Provide technical leadership in system integration projects, guide cross-functional teams to resolve large-scale compute bottlenecks, influence architectural designs, and facilitate the successful deployment of hardware-software solutions.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Principal DFT Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters.
As a Principal DFT Engineer, you will provide technical leadership across the full DFT lifecycle-from architecture and specification through implementation, verification, and silicon bring-up. You will define and drive DFT strategy, establish robust methodologies, and lead execution to ensure high test quality and manufacturability. This role requires deep expertise, cross-functional influence, and the ability to drive DFT excellence across projects and teams.
This is a critical leadership position with high impact on first-pass silicon success and production quality for next-generation AI connectivity solutions.
Key Responsibilities
DFT Architecture & Technical Leadership
Define and own DFT architecture for complex SoCs, including Scan, MBIST, LBIST, JTAG/iJTAG, and ATPG strategies
Lead DFT planning, specification, and quality tracking across the project lifecycle
Provide technical leadership and drive DFT sign-off readiness to ensure successful tapeout
Execution Across the Full Lifecycle
Lead DFT implementation, integration, and verification at block, full-chip and chiplet levels
Own end-to-end DFT activities from specification through silicon bring-up and production support
Ensure high test coverage, robust pattern generation, and alignment with manufacturing requirements
Methodology & Cross-Functional Impact
Develop and drive scalable DFT methodologies, flows, and automation frameworks
Collaborate closely with RTL, Physical Design, STA, and Test Engineering teams to ensure design-for-test readiness
Optimize DFT integration across front-end and backend flows to improve quality, PPA, and turnaround time.

Required Senior Silicon DFT Lead
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
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
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.

Required Senior DFT Lead
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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.
In this role, you will work to shape the future of an Edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next-generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Responsibilities
Drive 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).
Collaborate with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Oversee DFT team planning, deliverables, and provide technical mentoring and guidance.
Lead DFT execution of a silicon project, planning, execution, tracking, quality, and signoff.

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 DSP Researcher to join our Photonics R&D team. In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications. You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
 
What Youll Do:
* Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
* Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
* Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
* Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
* Develop simulations, models, and analysis tools using Python and/or C ++ for lab experiments, field data analysis, signal processing, and system -level performance evaluation.
* Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
* Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
* Communicate complex technical concepts clearly to both technical and non-technical stakeholders.