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our company is looking for a top-tier senior QA software TEST engineer to join the cumulus system ethernet group. this position will be part of our QA team while the main goal is testing of our ethernet switch/router and spectrum-x ai solution. you will be participating in requirements and design reviews, developing TEST plans, TEST execution, and automated TEST development for the specific features of cumulus Linux. the rule will include lab-activity and setups installation.
what you'll be doing:
functional / system testing of various layer2 and layer3 features of mellanox spectrum series ethernet switch systems running cumulus Linux
writing detailed feature and system TEST plans, defining and designing TEST beds and topologies
setup and install new switches /servers in lab including network configuration
hardware/firmware related testing for new new and legacy systems
identifying and reporting issues found during testing into the defect tracking system and validating the fixes and workarounds
developing automated TEST suites for different features of cumulus Linux
building and maintaining automation required to ensure quality via continuous functional regression

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.

we are looking for a 100% hands-on Storage services software engineer to join the block Storage group. you will be a member of a team that builds the next generation block Storage capabilities. you will work closely with a variety of teams and architects including the networking team, and external customers. you will take part in defining the software architecture and implementation of the most advanced Storage services! services that will need to meet extreme performance and scalability demands! 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:
100% hands-on coding role in C language, Kernel and userspace
research, design, implement and TEST, new and existing, networking features for distributed Storage services and features of our block Storage solution, in both host and dpu environments.
acquire understanding of the algorithms, the technicalities and the interaction with other components across our block Storage ecosystem.
analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox Kernel modules and often in other components. drive new solutions based on any issues that arise

our company is seeking a highly motivated senior infrastructure & automation engineer to join the networking business unit. in this role, you will design, develop, and enhance automation tools and infrastructure that improve the efficiency and stability of our firmware development and verification processes. you will work closely with firmware, emulation, and release teams to ensure smooth integration, reliable regression execution, and rapid issue identification - playing a key role in maintaining the quality and velocity of our cutting-edge networking products.
what youll be doing:
develop and maintain automation tools and infrastructure supporting firmware verification, compilation, and emulation workflows.
monitor and maintain the stability of the firmware regression cycles; identify, analyze, and resolve infrastructure and automation issues.
implement process improvements to accelerate development and increase verification efficiency.
generate reports and insights on regression results and quality trends; identify degradations between firmware versions.
collaborate with firmware and release teams to ensure high-quality delivery and smooth handoffs between verification and release stages.
take ownership of the regression automation environment, including ci flows, scripts, and integration with build and release systems.

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

help build an always-on, low-overhead gpu profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ml workloads. you will be hands-on delivering our profiling solutions across system software, drivers, and cuda to make profiling continuously available and reliable.
what youll be doing:
develop low-overhead, high-reliability implementations in C / C ++, with bounded cpu/memory budgets.
lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.
establish profiling models that integrate with existing ml/ai workflows (e.g., pytorch/xla) to turn low-level signals into actionable insights.

we are currently seeking a senior silicon security architect.
our company is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation our networking products. you'll be expected to take a strong hands-on role, working with diverse teams across our company 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.

we seek a highly motivated and experienced  system architect specializing in data -center, ai fabric, and ethernet networking to join our team of experts and help shape the future of high-performance ml/ai computing. you will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. you will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. our architects also represent nvidia in open-source projects, technical conferences, and standard development organizations.
what you'll be doing:
explore new technologies and end-to-end solutions for our ethernet networking platforms.
be familiar with data -center and ai fabric network topologies, ai/ml clusters operation and network usage, as well as with the ethernet switch platforms' design and characteristics.
define robust architectures and technical requirements for network operating systems and end-to-end solution offering for ai/ml workloads' needs and highly performing network operations.
lead the work with r&d and validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and TEST plans.
collaboration with architects across various fields, including chip design, firmware, hardware platforms, and system teams.
close work with Product Marketing, program managers, and account managers to ensure the successful execution of projects.
support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.
promote innovation through the design and implementation of proof-of-concept (poc).

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)

we are now looking for a power optimization and analysis engineer! our company prides ourselves on having energy-efficient products. we believe that continuing to maintain our products' energy-efficiency compared to competition is key to our continued success. as part of the u/arch team in the switch group, you will be responsible for analyzing full chip and unit-level power data and driving the fe/be asic teams to improve their units power efficiency; you will be responsible for researching, developing, and deploying methodologies to help our products become more energy efficient. key responsibilities include developing techniques to model, analyze, and reduce power consumption of our switches product line.
as a member of switch u/arch team, you will collaborate with architects, performance engineers, software engineers, asic design engineers, and physical design teams to study and implement power analysis and reduction techniques for our next generation switches. your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.
what you'll be doing:
use internally developed tools and industry standard pre-silicon gate-level and rtl power analysis tools, to help improve product power efficiency.
develop and share best practices for performing pre-silicon power analysis.
perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.
interact with architects and rtl designers to help them interpret their power data and identify power bugs; drive them to implement fixes.
select and run a wide variety of workloads for power analysis.
prototype new architectural features in verilog and power analysis.

our company has 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. we seek an senior sw performance engineer to join our performance verification team. as a performance engineer at our company, you will have to work closely with our development and architecture teams responsible for ethernet ai solution and gain a deep understanding of our products and technologies.
what youll be doing:
participate in an international team of software engineers working on products for testing our products
build automated verification environment for high-end hardware and software which is at the forefront of innovation
identify, analyze, and report software defects, inconsistencies, and other quality issues.
drive improvements for performance, quality, stability around sw acceleration solutions.
stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

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.

Our autonomous driving software group is looking for a Linux Kernel Developer who will be responsible for developing Embedded sw products.
this is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies.
what will your job look like?
researching, designing, and implementing new sw drivers and operating system features, as well as, maintaining, and enhancing existing ones.
you will also be responsible for integrating the sw solutions in our Embedded automotive platforms including the necessary hw bring-up, debug and unit testing to achieve proper operation of the new sw and hw together.