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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.

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.

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.

We're building something special in our Israel-based Offensive Security organization, and we're hiring multiple people across three key areas:
Penetration Testing
Red Team Product
Security Research
While these roles share a common foundation in offensive security tradecraft, each brings its own unique focus and impact.
We're looking for deep expertise in at least one of these areas, with the ability to grow across others. We have multiple openings and are looking for talent at various levels. As we get to know you through the interview process, we'll work together to identify the best fit matching your expertise and interests with the specific role and level (Senior, Lead, or Principal) that makes the most sense for both you and the team.
Role Overview
We are seeking a highly skilled offensive security professional to join our elite team. This role is ideal for someone who thrives on breaking systems, finding creative attack paths, and using their findings to drive meaningful security improvements across Salesforce's products and infrastructure.
You will work alongside some of the best minds in security, operating with significant autonomy and impact. Whether you specialize in deep application level penetration testing, red teaming, security research or vulnerability discovery, we want to hear from you-you don't need to be an expert in all three domains. What unites these roles is a relentless attacker mindset, a drive to find and demonstrate real-world impact, and the ability to translate offensive findings into lasting security improvements.
Responsibilities
Conduct advanced penetration testing, red team operations, or security research targeting Salesforce's cloud infrastructure, applications, and services
Discover, exploit, and document security vulnerabilities using creative and methodical approaches
Develop custom tools, exploits, and attack techniques to simulate real-world adversaries
Collaborate with product teams to remediate vulnerabilities and improve secure design practices
Contribute to the maturity of our offensive security program through automation, tooling, and process improvements
Mentor and share knowledge with team members, fostering a culture of continuous learning
Present findings and security insights to technical and executive audiences
Stay ahead of emerging threats, attack techniques, and offensive security tradecraft

As a Solution Engineer, also known as a "Presales Consultant," "Sales Consultant", Pre -Sales Engineer or Sales Engineer, you'll be a key player in the sales cycle, delivering thought leadership and owning solutions to enhance our customers' experience. You'll collaborate with colleagues, support our sales team, and translate business objectives into compelling recommendations. With your technical and sales skills, you'll present our product offerings, address objections, and inspire confidence in our technology infrastructure.
The Lead Solution Engineer will act as a trusted advisor to our customers while aiding the customers transformational journey.

Responsibilities
Coordinate and lead the entire solution cycle through close collaboration with other teams.
Understand the customers needs, and establish Salesforces product as the best solution that solves unique challenges
Convey a deep understanding of the clients industry and technology as it pertains to Salesforces solutions
Develop and deliver innovative custom solutions, build and present customized demos of Salesforce products including solution concepts to key decision-makers to address their business issues and needs showing business value.
Participate in all appropriate product, sales, and procedural training and certifications to acquire and maintain the knowledge vital to be effective in the position
Attain quarterly and annual objectives assigned by management
Respond efficiently to RFPs
Lead the technical side of the sales cycle
Have a strong curiosity about growing your career and participating in our internal training programs and mentorship initiatives.

our company has evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best User Experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their ai workloads. we are looking for highly skilled software engineers to join our platform group and help shape the future of ai infrastructure.
the role of a senior software engineer in the platform group is to design and develop scalable, high-performance systems that support the next generation of ai workloads. you will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of ai capabilities.
what youll be doing:
designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
building and optimizing microservices-based architectures using kubernetes and cloud-native technologies.
collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
writing clean, maintainable, and testable code in go
conducting code and design reviews to uphold high-quality standards and mentor team members.

we have evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. we deliver the best User Experience for our customers and provide detailed access to workload performance through rich metrics. these metrics help users optimize their ai workloads. we are looking for highly skilled DevOps engineers to join our infrastructure group and help shape the future of ai infrastructure.
what you'll be doing: take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
compose, build, and develop the architecture of run:ai cloud-native products for a variety of complex customer environments, including on-premise, and cloud
identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
partner with r&d, customer success, Professional Services, and pre-sales teams.
continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.

our company is a global leader in control systems for computing, a field on the verge of exponential growth. our innovative hardware and software mark a groundbreaking approach in our computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of qm lies a passionate and ambitious team committed to reshaping the construction and operation of our computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
we are looking for a Verification engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
the Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and our physicists.
responsibilities:
practicing the full range of verification aspects
creating a verification environment from scratch (drivers, monitors, coverage...)
vip (ddr/pcie/axi) integration
defining verification sequences via a complex control-flow constraint set
system understanding of a Full-Stack product with strong hw-sw coupling
reference model integration
TEST plan definition
defining verification flows and creating the proper infrastructure to support it

our company is a global leader in hybrid control systems for our computing, a field on the verge of exponential growth.
our innovative hardware and software offer a groundbreaking approach to controlling our computers, scaling from individual qubits to arrays of thousands.
at the heart of qm is a passionate, ambitious team committed to transforming the construction and operation of our computers. our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
we are looking for a highly experienced a hands-on software infrastructure engineer who embodies ambition and positivity.
someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
responsibilities:
creating innovative infrastructure to help with modernizing coding, processes, and workflows.
drive adoption of ai capabilities across chip design, verification and software teams.
partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
design and maintain multi-language code generation systems.
evaluate and integrate new technologies to enhance Developer workflows.