דרושים » חשמל ואלקטרוניקה » Senior Software Architect, gpu networking

as a senior software engineer in the gpu networking architecture team, youll lead advanced development and poc efforts for ai infrastructure solutions. you'll be collaborating with experts across distributed ai, deep learning, networking os, virtualization, Storage, and more. come and join us for the cutting edge in gpu networking!
what youll be doing:
drive advanced development and pocs for ai infrastructure solutions in cutting-edge ai networks, integrating innovative software and hardware.
demonstrate team architectural concepts with larger nvidia ai software stacks.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

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 have 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.  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 a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers networks. the position will take on a lead role, working with teams with varied strengths across and with external partners to research security requirements for networking products.
what you'll be doing:
lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
apply innovative security primitives to enable secure platforms.
collaborate across external and internal hardware and software research teams.
architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
research network telemetry for supporting secure networking platforms confidentiality, integrity, and availability.

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.

seeking a dynamic and highly motivated senior Software manager to lead our software verification and automation for doca networking sdk. we are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality verification and automation processes. this position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by nvidia and developed by our customers, empowering the most advanced data centers in the world. this role requires close collaboration with teams across various fields (sw, hw, QA ) to elevate our product to the next level.
what you'll be doing:
lead teams of software Verification engineers, providing technical direction, career development, and performance mentorship
define and continuously refine our software testing methodology and processes
engage in a hands-on approach, actively participating in the design, coding, and debugging of verification tests and infrastructure alongside your team
lead the verification process, ensuring the functionality, stability, and performance of our doca networking sdk and the solutions on top of it
work closely with internal and external customers to understand system use cases
analyze coverage measures to identify verification gaps and provide data -driven insights into product development and release readiness

we are seeking a highly motivated senior architect for high speed optical systems to join our team of experts and help build the future of high-performance computing. our next-generation infiniband, nvl and ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used in vast industries. you will work on some of the most groundbreaking technology as an architect for high-speed optical networks at nvidia. you will help develop next-generation switches and optic engine. the products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers, and you'll be part of a team with a strong track record of success.
what you'll be doing:
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing rack-to-rack connectivity and fiber routing.
crafting and architecting advanced ultra-fast fiber optic connectivity solutions for nvidia systems.
leading the development and implementation of optic systems to ensure world-class performance and reliability.
analyzing and determining the best approaches for integrating complex optic systems within our infrastructure.
define the optics engine architecture with taking into consideration the system requirement and limitation influencing on the optical engine feature set and technology.
successfully implementing and managing projects to meet ambitious deadlines and performance targets.

we are seeking a networking software engineer to join our rdma transport software team, driving the development of next-generation rdma solutions for ai, cloud, hpc, and Storage. you will research and develop innovative transport algorithms that push the limits of performance and scalability. you will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises 
what you'll be doing:
take part in research, design, and development of advanced rdma transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process

we are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced ai models such as gpt and deepseek. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research various of solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

we are looking for a software engineer to join a newly established team focused on the networking of large scale ai clouds. our goal is to enable breakthrough network performance, using our company hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.
what you'll be doing:
architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain
you will leverage the doca sdk to program the data center infrastructure and accelerate it using our supernics and dpus
engage with customers and architects to understand the requirements and derive the software design accordingly.

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.
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, distributed Storage services and features of nvidias block Storage solution, in both host and dpu environments.
acquire understanding of the algorithms, the technicalities and the interaction with other components across nvidias 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