דרושים » ניהול ביניים » Senior Software Architect, accelerated computing sdn

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 ai networking research team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads, ai systems communication and accelerations and much more. you will also be leading architectural and development efforts across numerous technological fields, related to the modern ai 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:
co-design hardware features (e.g., in gpus, dpus, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. 
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, ai-specific technologies.
lead proof-of-concept development to evaluate and drive such technologies.

our company is leading groundbreaking developments in artificial intelligence, high performance computing and visualization. the gpu -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. come work for the team that brought to you nccl, nvshmem & gpudirect. our gpu communication libraries are crucial for scaling deep learning and hpc applications! we're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.
DL and hpc applications have a huge compute demands and already run at scales of up to tens of thousands of gpus. gpus are connected with high-speed interconnects (e.g. nvlink, pcie) within a node and with high-speed networking (e.g. infiniband, ethernet) across nodes. efficient and fast communication between gpus directly impacts end-to-end application performance. this impact continues to grow with the increasing scale of next generation systems. this is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. are you ready to build the new and innovative technologies that will help realize our vision?
what you will be doing:
investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
design and implement new communication technologies to accelerate ai and hpc workloads.
explore innovative solutions in hw and sw for our next generation platforms as part of co-design efforts involving gpu, networking, and sw architects.
build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.
use simulation to explore performance of large gpu clusters (think scales of 100s of 1000s of gpus)

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.

our company has been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's an outstanding legacy of innovation that's fueled by great technology-and outstanding 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. as a worker, youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. come join the team and see how you can make a lasting impact on the world.
we are seeking an experienced malware research architect who can design and implement advanced malware detection systems using virtual machine introspection (vmi) techniques. the ideal candidate should have deep expertise in developing out-of-vm security solutions that can detect and analyze sophisticated malware, rootkits, and other cyber threats by introspecting and reconstructing volatile memory states of guest operating systems and file system states. strong knowledge of file systems, and hypervisor technologies is essential. the candidate will craft automated malware detection systems that use vmi and file system techniques to predict early signs of malware execution and accurately classify unknown threats.
what you'll be doing:
lead, research, design, develop and implement solutions for next-generation secure networks.
develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.

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.

looking for a motivated ai-native software engineer to join us in shaping the future of software development. engineers on this team grow fast - they work alongside senior architects, use cutting-edge ai tools daily, and become the organization's first experts in ai-native development practices.
as a ai-native software engineer in the ai-native development team, you will be Embedded in development teams adopting ai-assisted workflows. you will use the tools daily, identify friction points, suggest improvements, and become the team's go-to expert for ai-native development. this is a learning-intensive role with high impact - you will directly shape how the organization builds software with ai.
what you'll be doing:
use ai-assisted development tools daily as part of a team building real projects.
identify and report friction points - articulate clearly what works, what doesn't, and why.
contribute to tool improvements based on hands-on experience.
help document best practices, playbooks, and usage guides for broader rollout.
experiment with new ai tools, models, and approaches - evaluate and share findings with the team.
support development teams by providing direct feedback on tools and process during poc development.

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.

our company seeks a highly motivated senior ai cloud software architect to join our team in israel. work on innovative technologies shaping the future of ai and cloud. we are developing rdma transport protocols within the networking software architecture team at our company. efficient and fast communication between gpus directly impacts end-to-end application performance. this impact continues to grow with the increasing scale of next generation systems. this is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. are you ready to build the new and innovative technologies that will help realize our company's vision?
what you'll be doing:
translate requirements into vision, architecture, and roadmap
design infrastructure to support programmable improvements to rdma protocols for e/w ai networking stack
collaborate with multi-functional teams to innovate and deliver networking solutions
explore innovative solutions in hw and sw for our next-generation platforms as part of programmable rdma architecture
build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.

our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. our products need to manage information at a massive scale, and extend well beyond web search. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward. as a part of the Storage ai/ml organization, you will build the ai/ml specialized Storage infrastructure that supports our clouds most significant business priorities. you will focus on developing high-scale systems designed to meet the emerging requirements of ai and Machine Learning workloads.as part of a new incubation in tel aviv, this team serves as a specialized unit dedicated to exploring and developing new solutions within the ai/ml Storage infrastructure and ecosystem. your goal is to bridge foundational Storage technologies like gcs, rapid and lustre with emerging ai/ml workload needs, operating as a small, focused team to establish technical excellence and provide high value for this critical business pillar.our cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage our technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
write and TEST product or system development code.
participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

we have been transforming 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. as an employee, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. come join the team and see how you can make a lasting impact on the world.
at our company, we are working with the latest technology, pushing boundaries and redefining whats possible in the world of ai. our team is passionate, driven, and committed to solving the most challenging problems with innovative solutions. as a software solution architect for nvis, you will play a crucial role in helping us build and deploy world-class ai and Machine Learning solutions. join us in israel and be part of a team that is making a significant impact on the future of computing!
what you'll be doing:
helping our customers deploy cloud-native software stacks, such as ai, to embed guidelines in Machine Learning operations.
collaborating closely with infrastructure admins, data scientists, and ml engineers to deploy tools like run:ai and our mission control.
integrating our software into customers existing ml ops environments and developing scripts to streamline these processes.
diagnosing and resolving customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance.
working with internal collaborators, including pre-sales solution engineers, account managers, and product teams, to understand business requirements and provide technical insights.
developing new tools and scripts to facilitate seamless integration with other data science tools.