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About the group:
Highly experienced Group in switch processing including HW and SW architecture with deep background in the high-speed networking world. Our innovative packet processors are designed into the most advanced data centers by tier-1 vendors.
What will you be doing?
Definition of our next generation Packet Processor/Datapath/congestion management architecture for high-performance complex SoC Ethernet Switch.
Define the architecture from requirements to production.
Architecture & micro-architecture definition for the systems and its blocks.
Support the development group by delivering specs.

What you'll be doing:

As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI.

This position requires you to collaborate with other hardware and software engineers as well as DL researchers.

Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. The features could be HW, SW or Algorithmic - usually combining all.

The main focus of this job is from hardware architecture perspective and workload performance.

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 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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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.

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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define and implement solutions for complex design, integration and verification problems using in-house and external technical solutions or tools. Ensure chip quality by implementing best practices and implementing quality control measures.
Involve in project development and convergence with the highest quality, agreement with issues as they arise through design and implementation, or equivalent relevant experience.
Connect between RTL design, physical design, DFT, external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.

We are seeking a dedicated NVLink Firmware Architect to join our esteemed engineering team in Israel. This is an outstanding opportunity to impact the future of data centers and networking technology. As a key member of our team, you will play a crucial role in developing and crafting our NVLink firmware stack and GPU scale-up networking. Our collaborative environment, combined with ambitious goals, will enable you to collaborate closely with ASIC and software architecture/design teams to pioneer innovative solutions.

What you'll be doing:

Collaborating with a team of innovative engineers to craft new networking applications that address sophisticated problems in groundbreaking ways.

Identifying and evaluating new technologies, innovations, and partner relationships to align with our strategic technology roadmap and enhance business value.

Defining the architecture of NVLink firmware running on GPUs and switches, ensuring flawless integration and performance.

Helping to determine and implement the strategic vision for NVIDIA networking alongside adjacent software and hardware architects.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

The Architect leads the design and implementation of scalable Generative AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how builds, delivers, and operates products.

Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.

Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

We are looking for a passionate, modern software engineer or junior architect early in their career. The role involves developing and prototyping new scalable training and inference advancements using our Spectrum-X AI fabric.

This role offers a rare opportunity to work on innovative AI and networking technologies, building prototypes that influence the development of large-scale AI systems. You will help improve AI application-network interaction by refining communication, crafting congestion control, contributing to NIC and switch capabilities, and enhancing AI factory performance at scale.


What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

Join our mission to revolutionize autonomous driving! We're seeking a skilled Software Architect to design robust, scalable systems for our Systems Team. Bring your expertise in distributed systems and real-time processing to create safe, reliable solutions that power the future of transportation
What will your job look like:
The candidate will have to gain a system view of the Software and System architecture.
Create and Maintain software architecture for Autonomous Vehicles and Advanced Driving Assistance Systems.
Work in close cooperation with developers and act as a knowledge center.
Identify flows, define APIs, and break down the software into components.
Track and map architecture software and system requirements.
Technically negotiate with SW development teams.
Technical engagement with customers on architectural areas that you cover upon need.

Required Staff Data Architect
We are looking for an experienced and visionary Staff Data Architect to play a critical role in defining and shaping the data architecture for our flagship investigative analytics platform. In this position, you will design and guide the implementation of robust, scalable, and secure data pipelines that power advanced data processing for AI-driven insights as part of digital investigations.
You will work closely with cross-functional teams to drive technology alignment and ensure architectural excellence across multiple domains. This is a high-impact role, ideal for someone with deep technical expertise and strong strategic thinking, who thrives in a dynamic, collaborative environment and is passionate about building world-class technology platforms.
As our Data Architect, you will own the vision for how we manage, move, and leverage data within our SaaS product suite. Your role is pivotal in designing and implementing a robust data architecture that supports both real-time operational needs and advanced analytics, all within a scalable and cost-effective cloud-native environment.
Responsibilities:
Own the Data Vision: Take ownership of the data architecture, including our data lake, data warehouse, and ETL/ELT pipelines, to support our product teams and business intelligence.
Cost Optimization & Scalability: Provide architectural leadership and guidance to ensure our data platforms are designed for cost efficiency and scalability, actively identifying and implementing opportunities to optimize cloud spend.
Product-Centric Collaboration: Collaborate with engineering, product, data science, and security teams to translate product requirements and business needs into a strategic data architecture that drives product innovation.
Design & Governance: Conduct deep architecture reviews, assess technical risks, and provide recommendations to ensure data quality, security, and governance are embedded into every product.
Standardization & Enablement: Define and standardize data modeling practices, governance frameworks, and data pipeline patterns to enable efficient and consistent data development across product teams.
Technology Evolution: Evaluate new data technologies, tools, and methodologies (e.g., streaming platforms, modern data warehouses) to continuously improve our data platforms.
Documentation & Mentorship: Document architectural decisions, data flow diagrams, and cost models. Act as a mentor and technical authority, fostering a culture of technical excellence and cost-awareness.

Join us, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
** This role requires working from our Jerusalem site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with hardware and software capabilities.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

We are seeking a Senior QA Architect to join our elite team and play a pivotal role in shaping the quality standards of our large-scale consumer product. As a senior QA Architect, you will define and drive quality strategies throughout the product lifecycle, ensuring our solutions meet the highest standards of software quality.

In this role, you will develop and maintain high-quality work procedures, orchestrate both manual and automated testing, and lead the team in pursuing continuous quality improvement. You will collaborate closely with product, development, and QA team-from requirements gathering through release, including bug management and observability.

Responsibilities:
Lead quality efforts across multiple interfaces with a proactive, assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Set the overall testing strategy and tooling stack for integration, regression testing.
Champion an automation-first mindset-collaborating with developers to ensure code is testable and observable.
Conduct root cause analysis for escaped bugs and define corrective actions for continuous improvement.
Track CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Guide decisions regarding test environments, mocks, test data, and production parity.
Collaborate with centralized quality groups to ensure end-to-end test coverage.

We are looking for a candidate with a proven ability to simplify, innovate, and transform complex systems into streamlined, adaptable, and intelligent applications that meet cutting-edge business needs. The ideal individual will be self-motivated and adept at addressing the data requirements of diverse teams, systems, and products. This role offers the opportunity to optimize and reimagine customers' data infrastructure, designing and scaling systems that power next-generation products and GenAI technologies. A strong focus on ensuring data quality, security, and governance across the organization is essential.



Responsibilities

Support sales processes by designing and delivering agile Data and AI projects in collaboration with the account managers, project managers, and delivery managers of .
Design and develop innovative Data and AI solutions tailored to meet customers' needs
Lead strategic discussions, including technical presentations, with business stakeholders to understand organizational data needs and identify opportunities to derive actionable insights, enabling data-driven decision-making and aligning data strategies with business objectives.
Own the technical solutions for data, analytics, AI, and ML projects.
Build POCs for customers (hands-on).
Deliver top-quality design and architecture documents to our customers.
Build and control training plans for the team members towards new technologies required for future projects.

we are looking for a Software Architect.
What youll be doing:
Define and drive the groups tech vision, roadmap, and innovation strategy
Set technical guidelines and promote R&D best practices
Lead AI/ML integration across SDLC-LLMs, personalization, experimentation, and recommender systems
Mentor teams and drive major technical initiatives
Serve as primary technical escalation point
Hands-on with POCs, tech research, code reviews, and production health
Partner with CTO and stakeholders on key decisions
Foster a culture of innovation through knowledge sharing and open source
Evaluate and integrate emerging technologies into product roadmap