דרושים » מחשבים ורשתות » Solutions Architect, CTO Office

What You Will Be Doing
Own the co-build agenda with AWS & GCP
Drive our active co-build initiatives with AWS/GCP product and engineering teams from scoping through launch.
Own the technical relationship with AWS/GCP product managers and engineers on the EKS/GKE, Karpenter, and container services teams. Be the person they call, and the person who can answer without scheduling a follow-up.
Track the EKS/GKE and AI/ML roadmap closely enough to tell us what it means. Dynamic Resource Allocation, MIG and time-slicing landing in Karpenter and Auto Mode/Auto Pilot, managed control plane work, and pod isolation all move the ground under our product. You will be the first person to see it coming.
Continuously validate that we run on where AWS/GCP are going, not just where it is. As AWS/GCP abstracts the node further, our agent, our scheduler, and especially our GPU device plugin need to keep working. Confirming that, early, is a standing part of the job.
Bring AWS/GCP requirements and constraints back into R&D as real engineering input, and represent our architecture back to AWS/GCP accurately enough that they design around it.
Look for opportunities to be a design partner and later a launch partner.
Technical depth on us and EKS/GKE
Be the person who can explain how we work on EKS/GKE to any technical audience, without an SE in the room: real-time pod right-sizing, HPA and replica management, intelligent pod placement, Karpenter and node optimization, Spot, and GPU fractionalization and right-sizing for inference workloads.
Hold your own with AWS/GKE Solutions Architects and customer platform engineers on scheduling, autoscaling, resource management, and where our approach differs from static MIG and time-slicing.

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.



The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.



Work location: hybrid from Tel Aviv



Curious about what it's really like to work ?

Explore our benefits, culture, and what success in your first year could look like here.



If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contributions to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects, and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

Required Networking Silicon Architect, 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.
As a part of the team, you will define solutions for high-performance network accelerators and interconnects in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, with close collaborations with data center systems and Software teams. You will participate in the design, architecture, documentation, and implementation of the next generation of data center networking infrastructure.
You will be responsible for performance analysis for an end-to-end networking stack using your deep knowledge of high speed network infrastructure.
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
Evaluate different silicon solutions for executing our data center networking roadmap, off-the-shelf components, vendor co-developments, custom designs, and advanced silicon integration technologies.
Design high-performance hardware/software interfaces.
Collaborate closely with system, software, verification, emulation, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
Drive vendor execution in various engagements: standard component roadmaps, build to specification, and co-developments.
Contribute to the evaluation of future ASIC designs and general architecture.

Requred SoC Power Architect, Cloud, Silicon
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 a Power Architect, you will not just design chips; you will define the energy efficiency of the infrastructure that powers our services worldwide.
In this role, you will be at the intersection of architecture, logic design, physical implementation, and system software. You will own the power architecture for next-generation custom SoCs (System on Chips), making critical trade-offs between performance, thermal constraints, and power delivery to build the most efficient computing platforms on the planet.
Responsibilities
Define and own the SoC power architecture, including complex power domains, clocking structures, and power delivery network (PDN) solutions to achieve optimal performance-per-watt.
Architect sophisticated power management policies, including dynamic voltage and frequency scaling (DVFS), power gating, and state strategies. Define the hardware/software interface for the Power management unit (PMU) and provide power management specifications.
Lead collaboration across architecture, RTL, physical design, packaging and validation teams to establish power budgets and specifications. Ensure power requirements are met from concept to tape-out.
Develop high-fidelity power and performance models to evaluate architectural features early in the design cycle. Drive pre-silicon power estimation and analysis to guide design decisions.
Lead post-silicon power analysis, correlating lab measurements with pre-silicon models to close the loop and improve future methodologies.

Required SoC Chip Architect, Cloud, Silicon
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 an SoC Chip Architect, you will lead the definition of groundbreaking, high-performance custom silicon and multi-chiplet systems for our Cloud AI infrastructure. You will bridge the gap between hyperscale data center workload requirements and silicon implementation across various domains, collaborating with cross-functional partners to design scalable, energy-efficient, and feature-rich SoCs.
You will be part of a team pushing the boundaries of custom silicon engineering, architecting next-generation data center products that deliver industry-leading performance, low latency, and massive bandwidth for Cloud and our flagship AI services.
Responsibilities
Lead top-level SoC architecture across multiple disciplines, including IP architects, digital design, verification, physical design, validation, firmware, power management, security, and system software.
Architect and analyze complex multi-chiplet systems, including chip partitioning, die-to-die (D2D) interconnects, advanced packaging constraints, and high-performance on-chip fabrics (NoC).
Define top-level SoC subsystems, memory hierarchies, clock distribution, reset schemes, and power domains to ensure optimal system performance and operational efficiency.
Formulate end-to-end operational flows, latency models, and system throughput analyses for data center workloads.
Own the SoC architecture specification and lead it throughout the complete product life-cycle: concept, modeling, implementation, tape-out, and post-silicon bring-up.