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Required RTL Design Engineer, Cloud
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.
In this role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing, etc. You will develop/define design options for performance, power and area.
Responsibilities
Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.

This role is for a analog IP lead who will enable us to produce fully functional first silicon IP designs. The responsibilities include all phases of silicon development from definition to high quality production.


Specifying requirements and circuit architecture for analog blocks and sub-blocks of an IP, lab bring-up, characterization and debug, write specifications, test plans and characterization reports, work with chip design teams, system HW and SW design teams, ATE PE.

You will be responsible for:
Develop the circuit design of the IPs analog blocks following established design guidelines based on microarchitecture spec. Own all aspects of circuit design development.
Work and collaborate with other designers in the group to deliver results.
Work with FE & BE teams to ensure quality analog integration.
Work with power/performance and functional verification team to define and validate operation sequences.
Work with multi-disciplinary teams to make sure designs are delivered on time and with highest quality by incorporating proper checks at every stage of the design process.
Work with post silicon validation groups to ensure the design meets the power/performance targets.

We are seeking an AI Networking Architect to join the Networking Research Group. This role bridges the gap between emerging AI workloads and the data center infrastructure that powers them, working at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What you'll be doing:
Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.
Analyze new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.
Build simulation and hardware platforms, run real AI workloads on them, and develop analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.
Translate research insights and workload behavior into actionable software, xhardware, and networking architecture requirements.
Partner with architecture, software, and product teams to influence our future networking and AI infrastructure roadmaps.
Drive architectural innovation by applying deep workload analysis to production machine learning frameworks.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

 

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

we are looking for a AppSec Architect.
As an AppSec Engineer, you'll be the security partner for our R&D teams - reviewing code and architecture, closing the loop on vulnerabilities, and helping developers ship secure features faster. You'll also own our external vulnerability disclosure channels end-to-end, including leading our Bug Bounty program. This role is a great fit if you have a development background, enjoy digging into code, and want to use AI tools and agents to scale security impact across a large, fast-growing platform.
Responsibilities
Application Security & Secure SDLC
Partner with R&D: work directly with developers to identify, triage, and remediate application-level vulnerabilities.
Review code & architecture: assess security weaknesses and provide clear, actionable, developer-friendly remediation guidance both in the code and architectural levels
Own the scanning pipeline: run and tune SAST, DAST, and SCA tools across the codebase and CI/CD.
Shift security left: drive secure coding practices, threat modeling, and security requirements into the development process.
Review new features: support security reviews for new products, integrations, and third-party dependencies.

Were looking for a System Architect to own the technical foundation of the Labs product end to end, from the whiteboard to production on Azure. Working closely with our Chief AI Officer, youll translate complex research assumptions and decisioning methodologies into clean, self-service products. You will port the right pieces of our engine into a lean new stack, make it integrate cleanly across the business environments our customers already run, and lead the coding yourself. This is a hands-on architect role, not an oversight role: you set the design and youre in the codebase every day.
A core part of the mandate is a fully agentic SDLC, building the product with AI coding agents end to end, not just building an agentic product. We expect a small team to ship like a large one by making agent-driven development the default way we design, write, and review code. Youll define how we do that.
What youll do:
Translate methodology into product. Partner with the Chief AI Officer to turn complex assumptions, math, and decisioning methodologies into clean, self-service products a customer can run without a data-science team.
Own the architecture. Design a scalable, cloud-native system on Azure, covering services, data flow, model-serving and the end-to-end decision pipeline, and keep it coherent as it grows.
Lead the coding. Set the standards, make the hard build-vs-buy calls, and write the core code yourself. Youre the technical center of gravity for the team. You will guide and work shoulder-to-shoulder with the other engineers through the architecture and the code, without managing them directly. Leadership here is by design and example, not by org chart.
Stand up a fully agentic SDLC. Establish how we design, generate, review, and ship code with AI agents end to end: the tooling, guardrails and CI gates that let a small team punch far above its size.
Stand up the environment. Establish a fresh, greenfield Azure environment for Labs on a Kubernetes-native, Everything-as-Code foundation: IaC (Terraform, Helm), GitOps (ArgoCD or similar) and CI/CD from day one. In the early days that means rolling up your sleeves on the platform groundwork (subscriptions, networking, environments), working hands-on alongside Microsofts teams to get us live.

e are looking for a talented Cloud & AI Platform Architect.
We are looking for one architect to own both layers. Your foundation is deep platform and DevOps architecture: reliability, scalability, security, and cost efficiency of the cloud platform every R&D team builds on. Your growth edge is the AI layer: designing how agents are orchestrated, how they access tools and data safely, how we evaluate whether they work, and how we govern their cost and behavior in production.
We know agentic AI is a young discipline. We are not looking for a decade of AI experience that does not exist. We are looking for a proven platform architect who has spent the last one to two years genuinely building LLM-based and agentic systems in production, and who wants to own where this field goes inside a company that takes it seriously.

Senior Software Architect Location: Tel Aviv, Israel Department: R&D Reports to: VP R&D
?About the Role We are looking for an experienced and hands-on Senior Software Architect to play a key role in shaping the technological future of our company. In this position, you will lead architectural decisions across complex software systems, drive engineering excellence, and help build scalable, high-performance solutions that support our business growth. You will work closely with engineering teams and technology leaders, combining strategic architectural thinking with hands-on development and a strong focus on innovation, modern technologies, and AI-driven engineering practices. The ideal candidate is a highly technical leader with deep expertise across backend, frontend, cloud, and mobile application architectures, capable of driving end-to-end technology decisions while remaining actively involved in software development.
Key Responsibilities
* Lead the architecture and technical design of customer-facing web and mobile applications.
* Define scalable, secure, and maintainable frontend, mobile, and backend architectures.
* Drive architectural decisions across Frontend, Mobile, APIs, Backend services, and Azure cloud solutions.
* Remain hands-on, contributing to the design and development of critical system components.
* Lead technical design reviews and promote engineering best practices, coding standards, and software quality.
* Collaborate closely with Product, DevOps, Security, Data, and Engineering teams.
* Mentor engineers and technical leads on architecture, design patterns, and modern development approaches.
* Drive adoption of AI-assisted development tools and engineering productivity solutions.
* Identify architectural risks, technical debt, and opportunities for modernization and continuous improvement.

Responsible for designing, implementing, and maintaining security systems within an organizations network. The role requires a deep understanding of organizational technology and systems, providing technological solutions to existing challenges, and ensuring alignment with organizational processes and structure.

The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. Were here to help them deploy scalable, secure, reliable, performant, sustainable and efficient architectures - and do that spending as little time and money as possible.

In this role, youll work directly with a variety of interesting customers in various industries which could include AI/ML, HCLS, FinTech, ClimateTech, HCLS and others, and help them make the best (and sometimes the most pragmatic) technical decisions along the way. Youll have a chance to build enduring relationships with these companies, their founders, and establish yourself as a trusted advisor.

As well as spending time working directly with customers, youll also get time to sharpen the saw and keep your skills fresh. We have more than 200 services across a range of different categories and its important that we can help startups take advantages of the right ones. You will act as a customer advocate with our product teams to make sure we are building the right products and features for the startups you work with.

In addition, this role will provide plenty of opportunities to share your knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities
Help a diverse range of startups to adopt the right architecture at each part of their lifecycle.
Support startups in architecting scalable, reliable and secure solutions.
Support adoption of a broad range of AWS services to deliver business value and accelerate growth.
Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback.
Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs.
Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market.

As a Cloud Architect, you will help customers build enterprise applications and capabilities around cloud technologies to streamline development and allow for continuous feature release of Infrastructure and applications.


If you have hands-on Openshift / Kubernetes, devops and Linux experience and are prepared to work from customer sites we'd love to hear from you!


What you will do:

Serve as a subject matter expert at the customer site, addressing technical, development, or strategic IT requirements
Understand industry practices and Red Hat's policies, procedures, and values
Demonstrate good judgment in selecting best methods to obtain solutions
Implement and integrate Red Hat's open and hybrid cloud solutions including Red Hat OpenShift and other Red Hat's offerings
Team up with our customers to rapidly build application prototypes using modern application development practices and open source emerging technologies
Manage and gain understanding of domains like micro services, API management, and web- scale architectures, DevOps engineering and application delivery, container-based continuous delivery (CD), cloud automation, and everything-as-code
Collaborate with project and customer team members to meet timelines and goals
Contribute to project documentation and diagrams, including ticket or bug management
Mentor and share your knowledge with customers and the existing team
Define and promote the adoption of automation techniques and DevOps processes to improve the cloud life cycle, including infrastructure and application uptime, availability, and time-to-market
Implement solutions using cloud technologies, design principles, integration points, and automation methods
Handle tough problems in an innovative way

WHAT YOU WILL DO
Be the expert and escalation point for the most strategic accounts. You're the named CTO Office representative on the deals you're assigned - accountable for whether the deployment succeeds and whether product hears what needs to be heard.
Take on the hardest problems, without notice. When something is blocking a deal or a customer, you don't escalate it. You own it.
Influence the product roadmap. You carry field signal directly into R&D. You're expected to have strong opinions about what should move and why.
Build what doesn't exist yet. If we needs it and it isn't there, you build it.
Produce technical content. Whitepapers, blogs, and writeups. You help define how the world experiences and understands what we're building.
Travel. Tel Aviv is home base. US customers and industry events are a regular stop.

We are looking for a Data Architect / Hands-On Lead to join our Data Analytics team and lead the design and delivery of complex data solutions in a highly technical environment.
What will you do?
Design and lead Data architectures end-to-end
Work hands-on with GCP and cloud-based data solutions
Design, develop, and implement scalable Data solutions
Provide technical leadership across complex projects and Data analytics teams
Drive architectural decisions and technology selection based on business and technical needs
Collaborate with Data Engineering, Cloud, BI, Database, and other technical teams
Mentor and guide engineers and technical professionals
Stay hands-on and involved in solving complex technical challenges
Work across multiple customers, projects, technologies, and architectures.

We are seeking a strategic and technically excellent Principal Software Engineer / Software Architect to define and drive the architectural direction of our unified DataOps platform. This is a strategic and hands-on role where you will be responsible for the holistic design of our large-scale, cloud-native solutions, ensuring they are robust, scalable, secure, and maintainable. You will be instrumental in evolving our technology stack, ensuring our architecture supports future business growth and innovation, and mentoring the next generation of technical leaders.
What You'll Do:
Define & Own Architecture: Define, evangelize, and own the overall software architecture vision and strategy for our unified DataOps platform.
Lead System Design: Lead the design and evolution of complex, large-scale, and highly distributed cloud-native systems on AWS, ensuring high performance, scalability, reliability, and security.
Establish Standards: Establish and enforce architectural standards, best practices, and patterns across all engineering teams.
Strategic Collaboration: Collaborate closely with executive leadership, product management, and engineering teams to translate business strategy into actionable technical roadmaps and architectural solutions.
Hands-on Guidance: Provide hands-on architectural guidance, review critical designs, and contribute to proof-of-concepts or complex coding challenges when necessary.
Risk Mitigation: Proactively identify and mitigate architectural risks, anticipating future technical challenges and designing resilient solutions.
Technical Leadership & Mentorship: Mentor and provide strong technical leadership to senior engineers and other architects, fostering a culture of technical excellence and continuous learning.
Technology & Tooling: Drive technology selection, evaluation, and adoption processes, ensuring alignment with architectural principles and business needs.