דרושים » תוכנה » Senior Architecture & Performance Modeling Engineer Silicon (5916)

We are looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs.

As a Senior architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads. You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo or our NIXL.

Research, Identify and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

Create proof-of-concept to evaluate and drive such new technologies.

Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

We are seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build cutting-edge systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most advanced GPU clusters in the world.

Youll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across us and leave a mark on the way generative AI reaches real-world applications.

What Youll Be Doing:

Design and evolve scalable architectures for multi-node LLM inference across GPU clusters.

Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.

Collaborate with model, systems, compiler, and networking teams to ensure holistic, high-performance solutions.

Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching.

Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration.

Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.

Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.

In this role, you will shape the architectural foundation of SaaS Platform, with a special focus on designing scalable and resilient data models and system structures. Youll drive architectural strategy and design decisions that enable data-driven insights, efficiency, and long-term platform scalability. Youll collaborate with engineering, product, and research teams to define the evolution of our data ecosystem and ensure our architecture meets the demands of cutting-edge cloud-native security workloads.



Responsibilities

Lead the architectural design and evolution of Aquas SaaS platform, with a focus on data modeling, storage, and system structure.
Define and document software architecture standards, guidelines, and best practices across teams.
Collaborate with backend, data, and product engineers to build robust, scalable, and extensible data-driven systems.
Design and optimize data schemas, storage strategies, and pipelines for high-volume, real-time, and analytical workloads.
Evaluate and integrate technologies that enhance system performance, scalability, and observability.
Provide technical leadership throughout the full product lifecycle from conceptual design to implementation and deployment.
Review and mentor engineering teams on architecture patterns, system design, and data management practices.
Conduct PoCs and technology evaluations to guide strategic architectural decisions.
Partner with cross-functional teams to align architecture with business needs and product goals.
Partner with cross-functional teams to align architecture with business needs and product goals.

We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stackfrom 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.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.

We are currently seeking a Senior Silicon Security Architect.

We are seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across us and with external partners to meet security requirements for our state-of-the-art network products.

What you'll be doing:

Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.

Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware.

Collaborate with partners on the implementation of open-source software.

Collaborate across the company to guide the direction of Silicon security, TEE, working with hardware, software, research and product teams.

Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.

Work with customers, partners to identify and address security issues and threats.

Company Overview: Our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrites AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our digital forensic and investigative solutionsavailable via cloud, on-premises and hybrid deploymentsto close cases faster and safeguard communities. To learn more, visit uur website.
Position Overview 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.
Office Location:
Petah Tikva

We are now looking for a Senior Security Validation Architect for Networking AI Platforms! NVIDIA is seeking an outstanding security architect with deep expertise in security validation and advanced testing methodologies to help design, build, and guide secure validation across our next-generation products. The candidate is expected to deliver highly innovative validation and verification solutions that lead to significant industry differentiation and help achieve the long-range goals of the Security organization. Leaders in this role will strengthen NVIDIAs Data Center and networking products against emerging threats while driving adoption of future-proof security validation technologies.

What youll be doing:

Defining and driving implementation and adoption of security validation strategies across NVIDIAs networking platforms security solutionsspanning Silicon, Firmware, and System levels.

Designing frameworks and automation flows to test and verify security functionality during product QA, large-scale manufacturing, and in-field operation.

Collaborating with architecture, design, and product engineering teams to ensure robust verification coverage for hardware roots of trust, secure boot, key provisioning, and cryptographic services.

Driving development of advanced validation and debugging tools capable of detecting complex security anomalies, misconfigurations, and behavioral deviations across systems.

Building and maintaining an end-to-end visibility architecture for security validation metrics, enabling continuous trust across the product lifecycle.

The AI Transformation Architect plays a central role in driving our companys enterprise-wide AI transformation. Reporting to the VP of AI Transformation, this role defines and builds the technical and architectural foundations that power our AI-driven software organization.
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 our company 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.
Strategic Objectives
Accelerate AI Transformation across the SDLC by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
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 seeking an exceptional and highly experienced Senior System Engineer to join our elite HW R&D team. This role is suited for a seasoned professional (15+ years of experience) in the networking and telecommunications industry, with a proven track record in multi-platform system architecture, hardware/software integration, and deep protocol-level understanding. The ideal candidate will lead and define end-to-end system behavior across multiple layers, ensuring alignment between hardware platforms and software stacks.
You will work closely with internal and external stakeholders to define detailed system specifications, drive platform validation, and ensure our solutions are reliable, efficient, and meet the demanding requirements of service providers.
Key Responsibilities
System Architecture & Design
Own the end-to-end system architecture across various company platforms (routing, switching, timing, and synchronization platforms).
Define and maintain system-level functional specifications and engineering requirements documents (ERDs), covering HW-SW interfaces, thermal, mechanical, power, and performance constraints.
Evaluate and drive platform-level trade-offs (e.g., performance vs. power, scalability vs. complexity).
Collaborate with hardware design, software architecture, thermal, and mechanical teams to ensure cohesive system integration.
CPU selection, boot methodologies, FW upgrades, IC programming, etc.
Technical Leadership
Act as the technical authority on system behavior, network feature interaction, and platform compatibility across various ASIC vendors.
Drive design reviews, providing critical input on system-level implications and interactions.
Detailed Specifications & Documentation
Develop comprehensive and structured documentation: platform requirement specs, interface control documents (ICDs), test coverage matrices, thermal analysis reports, power budgets, and system bring-up guides.
Create and maintain clear, accurate, and implementation-ready specifications to be used by hardware, software, validation, and operations teams.
Thermal, Power & Mechanical Integration
Analyze and approve cooling methods and thermal design requirements (airflow, heat sinks, thermal interface materials, etc.).
Analyze power distribution planning, and integration with PSU/voltage regulator designs.
Work closely with mechanical engineering.