לוח משרות דרושים ארכיטקט מערכת תוכנה משרה מלאה

we are seeking a highly motivated and skilled radar system architect to join our team, focusing on automotive imaging radar systems. this role is pivotal in bridging the gap between our cutting-edge radar technology and our automotive customers' evolving needs. as the key technical focal point, you will lead customer engagements, manage system -level requirements, define system architecture in multiple domains and ensure successful integration and performance of our radar solutions in real-world automotive applications. what will your job look like?
define high level requirements for cutting-edge, automotive imaging radar
design system architectures and flows for critical functions, such as power management, safety monitoring and security
research and architecture for improving radar kpi's and capabilities
engage with customers, analyze and understand customer requirements
work closely with sw, algo, hw, vlsi and validation teams

what youll be doing:
implement cutting-edge, end-to-end data center solutions with modern applications.
architect, develop, deploy, automate, analyze, formalize findings, and release summary reports.
develop and release reference deployment guides and how-to tutorials.
support company business units on complex solutions delivery by consulting, providing solutions designs, running pocs, etc.
research technology trends and deliver best practices for integrating nvidia products and technologies.

we are building a high-impact team at the forefront of architectural innovation, and were looking for a senior nic system modeling & simulation engineer to be a key contributor. in this role, youll develop software-based functional models and simulators to explore, validate, and influence the architecture of our next-generation nics. you will work closely with architects and design teams, contributing to the design and evaluation of cutting-edge systems. this is a rare opportunity to shape architectural decisions from the ground up while working in a fast-paced, exploratory environment.
what youll be doing:
system -level modeling: architect and develop high-performance systemc models of hardware blocks and subsystems.
feature implementation: work autonomously to define, design, and implement modeling features.
cross-team collaboration: collaborate across architecture, design, and software teams to refine system -level behavior
ai-enhanced development: accelerate development by leveraging cutting-edge ai coding tools and frameworks.

technically leading the features owns working with customers and r&d on architecture and design of the features.
clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.
simulations ranging from specific components to complete data center environments
develop sdks for novel hw capabilities
designing and implementing services, runtime systems, and applications over sdk
evaluate and optimize application performance
partner and collaborate with other forward-thinking team members and external researchers
work with intelligent networking machines powered by ai systems that can learn, reason and interact with other network components

as a senior team member, you will be part of a development effort of high-performing software automation systems fordata  center environments. you will interact with nic, os, switch, hca, cpu and gpu compute as well as architects, network engineers, and developers. we drive the data growth of the worlds biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what youll be doing:
design and develop an automation platform used to provision, configure, and monitor hpc data centers.
implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
participate in code reviews, technical design discussions, and continuous improvement activities within the team.

seeking an outstanding senior software & systems architect to join the nic software/firmware architecture group, focusing on next-generation radio access network (ran) platforms for 5g and 6g. you will help define and deliver innovative, scalable, high-capacity, and power-efficient networking solutions that support sophisticated ai acceleration and industry standardization across hardware and software stacks. 
what youll be doing
architect software and firmware stacks for smartnics tailored to the requirements of next-generation ran workloads, including distributed, centralized, and small cell deployment scenarios. 
collaborate with hardware architects to define new features and robust sw-hw interfaces for diverse networking use cases. 
perform research and development in network protocols, high-performance networking, and network acceleration. 
extend and optimize networking drivers, offloads, and accelerators for enhanced performance and efficiency in ran environments. 
drive standardization and interoperability to support broad industry adoption.

we seek a versatile senior software engineer who is passionate about performance optimization and generative ai. our team builds software solutions that enable efficient inference on the latest and greatest generative ai models. we tackle problems on all levels of the stack-from server-level request batching to gpu Kernel fusion-and collaborate with teams across diverse disciplines to push nvidia's hardware to its full potential.
what youll be doing:
cooperate with research teams to onboard new llms and vlms into nvidia's opensource ai runtimes
optimize inference workloads using sophisticated profiling and simulation tools
build solid, extendable inference software systems, and refine robust apis
implement and debug low-level gpu code to harness the latest hw features
own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products

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.

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.

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.

we are looking for a Storage software architect to join the architecture group. you will be part of a team that shapes the next generation of Storage for ai: training, inferencing, kv cache, rag and more. utilizing the best from our network products, dpus and nics, working closely with hardware architects, sw architects and external customers, defines the programming interfaces, protocols and management. we have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. at our company, we work, think and learn as a team. we thrive in a deeply strong environment and we're passionate about a culture that demands innovation and the highest standards. the rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
what youll be doing:
define how Storage for ai clusters should look like
research and analyze ai Storage workloads, poc ways to optimize them
design the Storage sw stack for ai, apis, and offloads
lead hands-on pocs
drive hw features to next generation of dpus and nics

we're looking for a hardware architect for our nic and dpu division. in this position, as part of a small (~10 employees) elite team, you will have the chance to define the architecture of nvidias next generation nic and dpu products. your role will be cross-disciplinary, working with software, asic design, verification, physical design and platform teams to improve performance and debug.
what you'll be doing:
learn and understand the switch u/architecture thoroughly across all aspects and become a source of information for the design and Verification engineers.
define the implementation of the most sophisticated debug features of our next products, balancing architecture requirements with backend, execution, and design considerations.
define the implementation of debug capabilities to support performance validation and improvements
understand our system debug requirements and help define the por of our nic and dpu product line.
face the most challenging full-chip correctness and performance issues, which cannot be handled by the units designers as they require full cross-unit understanding of the chip.
work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc.
thoroughly understand SOC flows, pcie, ethernet, infiniband and nvlink protocols.

lead a team of 5 engineers in the advanced technologies development
design and implement solutions throughout all layers from high level application, os and driver subsystem to firmware
work on impactful projects involving state-of-the-art high-performance computing hardware and software
provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
collaborate with nvidia partners and customers

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.