דרושים » ניהול ביניים » Senior Software Architect - deep learning and hpc communications

our company has been redefining computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people. today, were tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing whats never been done before takes vision, innovation, and the worlds best talent. being an employee means being part of a diverse and encouraging setting that encourages everyone to perform at their peak. come join the team and discover how you can develop a lasting influence on the world. 
our company is in search of a Senior Software Architect - a creative, forward-thinking, and practical researcher to improve the framework for widespread llm learning and prediction. as part of our dynamic e2e architecture group, you will design and optimize systems driving generative ai workloads, working at the intersection of software and hardware on some of the most advanced gpu clusters worldwide. you will define how ai models are deployed and scaled in production using the spectrum-x networking platform, influencing decisions from inter-node communication and compute scheduling to system -level optimization. this is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative ai in real-world applications. your work will make a lasting impact by enabling generative ai technologies to reach real-world applications and improve global computing capabilities. 
what youll be doing: 
lead research and development of end-to-end networking solutions for distributed ai training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.
analyze current deployments, develop prototypes, and recommend architectural improvements. 
stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies. 
design, simulate, and validate new systems using novel, scalable network simulator nsx. 
develop and TEST prototypes on large-scale gpu clusters (e.g., israel-1). 
collaborate across hardware, firmware, and software teams to translate ideas into real networking product features. 
publish patents and present research at leading conferences.

as a Senior Software Architect in the accelerated computing system and software team, you will define software defined networking (sdn) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed ai and deep learning systems, high performance computing (hpc), networking operating systems, virtualization, Storage, and more.
what youll be doing:
define system and software architecture for software defined networking (sdn) of ground breaking emerging ai and hpc networks which involves innovative software and hardware.
be an active member in setting the use-cases and metrics for monitoring complex high-speed networks control-plane.
work closely with various groups within our company to bring ai and hpc network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

our company is 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 our company 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 model inference (e.g., memory hierarchy, network topology, modern inference architectures).
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.

We are seeking a Software Engineering Architect to join the company Tableau engineering team. You will be instrumental in designing and architecting complex, data-driven software systems at scale, with a heavy focus on delivering a best-of-breed Semantic Layer for AI-based data analytics capabilities. As a key technical leader, you will shape the architecture, guide engineering teams in standard methodologies, and ensure the scalability, reliability, performance, and security of our products. You will work on high-impact projects and collaborate closely with Principal Architects.
Your Impact:
Architectural Design & Strategy: Define secure, scalable, and resilient architecture for large-scale, distributed, high-performance systems across multiple cloud environments. Ensure technical solutions align with customer needs, platform, other teas and business requirements.
Semantic Layer & AI Focus: Design, evolve, and govern the next generation of our semantic layer and data modeling framework. Drive the leverage of AI (LLMs and more) and analytic agentic capabilities by providing a unified, rich, and performant data interface.
Execution & Ownership: Be hands-on: write code and POCs, engage in pull requests, and remain close to the code. Simultaneously handle multiple complex, high-priority projects, ensuring architectural decisions support short- and long-term business objectives.
Technical Leadership & Optimization: Provide leadership and mentorship to engineering teams. Lead efforts to optimize system performance and scalability, and ensure high availability and resilience.
Collaboration & Documentation: Work closely with multi-functional teams (PMs, AI experts, engineers, and stakeholders) to define and implement architectural strategies. Create comprehensive documentation for architectural designs and decisions.

Wt are looking for a highly skilled and strategic Software Architect to lead the modernization of our core technology platform and drive new AI-powered capabilities. This role involves analyzing existing systems, designing a scalable and cost-efficient target architecture, and building a clear roadmap to get there.
As our Chief Architect, youll serve as a trusted technical advisor, partnering with product, engineering, and business teams to design scalable, secure, and resilient systems. Youll guide the technical direction of the company, mentor engineers, and help evolve our architectural standards and best practices.
What You Will Do
Architectural Strategy:
Evaluate current systems and infrastructure; define scalable, secure, and maintainable target architectures.
Roadmap & Execution:
Build migration plans from legacy to target state, including risk analysis, dependencies, and phased delivery.
Cloud Architecture (AWS):
Design AWS-native architectures that optimize performance, scalability, cost-efficiency, and reliability.
AI Architecture:
Lead design and integration of AI capabilities with a focus on intelligent agents, LLMs, and automation workflows. Leverage services like AWS Bedrock, OpenAI APIs, and open-source agent frameworks.
Cross-Functional Collaboration:
Partner closely with product and engineering leadership to define the technical roadmap and delivery strategy.
Operational Excellence & Leadership:
Define and uphold architectural and technical standards across engineering teams.
Ensure compliance with regulatory and security frameworks (e.g., SOC 2, HIPAA).
Serve as the primary technical escalation point for architecture and infrastructure concerns.
Mentor developers on system design, scalability, and performance.
Stay hands-on through POCs, technology evaluations, code reviews, and monitoring production health.

Ultimately, we believe in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Responsibilities
We are looking for an exceptional Technical Architect to join our growing team. In this role, you will be responsible for helping our clients empower their employees, serve their customers, and build solutions for their businesses.

In this role, you will also be responsible to:

Work across multiple customer-facing teams (Sales, Business Development, Product, Engineering, Customer Success) to improve the product's vision and to make global businesses and organizations successful.

Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. You help our employees and customers approach and resolve technical problems and design scalable services.

Gather requirements via client meetings and lead the solution design process jointly with customers, Business Development and Engineering

Develop capabilities and features based on customer requirements as well as to extend our connector capabilities via HTTP and SDK

Work closely with Product and Engineering to review customer requirements and feedback, and identify opportunities for our platform enhancements

Accelerate development for roadmap features to address specific customer requirements

Improve internal processes, and promote knowledge sharing in the team, by contributing to our knowledge base

Prioritize and deliver outstanding customer service experience to our customers

We seek a Senior Architect to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a hands-on Architect, you will be defining, designing, and building advanced storage features and extensions to make the data platform differentiated in a broad set of use cases primarily in the HPC/AI fields. You will build proof of concept implementations and work closely with the R&D teams to deliver production-grade solutions.

We are looking for a Senior Architect to lead the design and evolution of our system architecture. This is a high-impact role with broad technical ownership, shaping the scalability, reliability, and future direction of our platform.

What You'll Do

Reporting directly to VP Engineering
Lead the end-to-end architecture design of our platform and core systems
Make critical technology decisions and influence long-term technical strategy
Design and evolve scalable, distributed, and highly available systems
Ensure performance, reliability, security, and observability across services
Help implementing SDD in the organization and AI Driven features
Translate business and product requirements into robust architectural solutions
Partner closely with R&D, DevOps, Product, and leadership teams
Drive engineering best practices, standards, and technical excellence
Mentor engineers and tech leads across teams

We are seeking a highly experienced and technical Senior Salesforce Architect to optimize and enhance our Salesforce platform. This role is crucial for translating complex business requirements into efficient, scalable technical solutions and maintaining seamless data flow across our integrated applications.
If you thrive in a fast-paced, collaborative environment and want to be part of a dynamic team driving innovation in the construction tech industry, wed love to hear from you!
What you'll do:
System Design & Process Optimization:
Collaborate with business stakeholders to gather, analyze, and document complex business requirements.
Design, recommend, and implement scalable, best-practice Salesforce solutions to streamline business processes.
Serve as the platform expert, advising on how to best leverage Salesforce capabilities for maximum efficiency.
Configuration, Automation, and Customization:
Design and implement advanced automation solutions.
Develop custom objects, fields, formula fields, page layouts, record types, and validation rules.
Manage sandbox environments, data deployments, and the release management process.
Perform all standard administrative tasks including managing user roles, profiles, permission sets, sharing rules, and security settings.
Integration and Data Management:
Design, configure, and maintain robust integrations between Salesforce and external business applications such as Slack, Outreach, and Hubspot.
Develop and manage complex data integrations using dedicated iPaaS tools, with specific experience in Workato.
Work with APIs and integration tools to ensure reliable and secure data flow between systems.
Quality Assurance (QA) and Support:
Develop and execute detailed test plans for all new features, configurations, and integrations to ensure system stability.
Provide advanced-level support and troubleshooting for complex technical issues, serving as a primary escalation point.
Create and maintain detailed system documentation, including design specifications and process maps.

Required Fraud Lead (Technical Architect)
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
The Fraud Lead is the principal technical authority for our fraud detection and response engine. You own the professional logic that powers our product, ensuring that the "Brain" of our platform is technically cohesive, scientifically rigorous, and market-leading.
You act as a System Architect for the fraud domain, connecting the dots between Research, Data Science, and Analytics. Crucially, you serve as the primary technical consultant for our customers, helping them understand, integrate, and optimize the fraud logic that protects their environments. You work alongside a separate Product group (who defines the roadmap) and a Platform Engineering group (who builds the infrastructure).
What youll do:
Technical Domain Architecture
Logic Blueprinting: Design the end-to-end technical logic for detection features-from telemetry ingestion to real-time response actions.
Cross-Team "Glue": Ensure that Fraud Research insights are effectively operationalized by the Data Science team and surfaced correctly by the Analytics team.
Architecture Governance: Set the technical standards for how detection logic is built, ensuring it is scalable and compatible with the Platform Engineering teams infrastructure.
Customer Fronting & Technical Advisory
Technical Subject Matter Expert: Act as the lead technical consultant for high-value customers. You will lead "deep-dive" sessions with client-side engineers and fraud experts to explain our detection methodologies and data requirements.
Integration Strategy: Advise customers on how to best leverage our technical logic within their specific business contexts.
Feedback Loop: Translate complex customer technical needs and "edge case" fraud patterns back into technical requirements for the internal fraud group.
Expert Implementation
Hands-on Prototyping: Remain an expert practitioner in Python and SQL. You will prototype new detection methodologies and perform technical validation of production models.
Quality & Observability: Design the technical frameworks that ensure our detection logic remains performant and observable in live customer environments.