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our company is looking for an excellent software engineer to join the network management team. the team develops software responsible for configuring network devices. routing algorithms and performance optimizations in infiniband networks powering world top supercomputers. for research and testing purposes, we also develop large-scale infiniband network simulators.
what youll be doing:
design and develop user-space applications responsible for simulation large scale infiniband networks of thousands of network devices
improve performance and optimize algorithms for using the simulator in docker and cloud setups
collaborate with multiple teams in our multi-functional environment on developing new features/improvements

a software engineer you will ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. do you want to help create the most exciting solutions in the world of networking today? if so, read on.
what you'll be doing:
participating in an international team of software engineers working on products for testing nvidia ethernet networking products.
designing and implementing robust, maintainable, and efficient automation TEST suites for end-to-end testing of ai ethernet networks.
engaging directly with nvidia customers to ensure we are aligned on their networking requirements and solve their problems.
debugging and diagnosing complex networking problems.

we are looking for a senior software engineer. you will work with highly experienced engineers to provide the world's outstanding smartnic products for cloud-computing, research, medical, automotive, finance, weather, telco, and more. we are developing some of the core libraries of the doca sdk rapidly growing doca functionality and use cases. with doca, developers can program the data center infrastructure by creating software-defined, cloud-native, secured, hw-accelerated services.
we also take significant part in the Linux -foundation  project, and expand the mellanox pmd in particular, providing the framework and common api for fast packet processing in user space. our goal is to enable breakthrough network performance, using smartnic 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:
you will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain
engage with customers and architects to understand the requirements and derive the software design accordingly
collaborate with other engineering teams that develop the upper layers applications like virtual switches (ovs, vpp, and etc.) and lower layers like driver, Kernel, fw, and hw

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

we are looking for an experienced, hands-on team manager.
as team manager you will be responsible for managing the development of enterprise grade software for monitoring and doing critical performance analysis for the world's largest supercomputers and data centers, built on our gpu and networking hardware. this role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in managing large scale networking and computing infrastructure.
what you'll be doing:
the team is responsible for developing monitoring and telemetry infrastructure for production environments, running on the worlds largest supercomputers and datacenters. the work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. our team works closely with other stakeholders to co-design new features and software apis.

our group is a distinguished collective dedicated to seeding advanced and unparalleled technologies, including video engines, streaming, time synchronization, and more. our primary mission is to research, invent, chart the technological course, and architect both the algorithms and the hardware required to bring these innovations to fruition.
we are on the hunt for a  software engineer  who brings on board extensive experience across relevant software domains and is passionate about innovation. this is a golden opportunity to make your contribution to developing innovative technologies designed for integration into our elite consumer and data center products. as a part of our team, you will play an active role in patenting new knowledge and safeguarding our intellectual property.
join us in pioneering the data center technologies of the future!
what you'll be doing: build and maintain Python -based tools, workflows, and frameworks used by algorithm and architecture teams.
lead and mentor engineers in software development, performance optimization, and workflow guidelines. 
define and improve development environments across Linux, containers, build flows, and internal compute systems.
integrate algorithmic and architectural developments into production software (sdk, umd, and occasionally bare-metal firmware).
work hands-on with C / C ++ and low-level components to ensure smooth integration with hardware and system architecture.

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

you will work at the intersection of Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and calibrate ai review depth per level.

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 senior customer program manager - ai datacenter to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. as a key member of the customer program management team, this role will drive collaboration with major enterprise customers, cloud service providers, tier-1 partners, and oems. the ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.
what youll be doing:
define and manage program schedules, deliverables, and turning points aligned with customers and partners roadmaps and requirements.
translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.
provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.
act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.
drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.
provide ongoing post-deployment sustaining support, serving as case manager for field quality issues or high priority concerns with major enterprise customers, cloud service providers
monitor factory production schedules, yields, and blockers, collaborating with odm/contract manufacturers to resolve issues and meet operational targets with major enterprise customers, cloud service providers
proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (hardware, software, operations, business, quality, sales, and product teams), ensuring transparency and alignment.

looking for a motivated, experienced senior Hardware Engineer to join us in supporting groundbreaking network technologies. in this role, you will have a significant impact on both our business and the technology ecosystem, working closely with customers and r&d teams to shape the future of supercomputing and networking.
what youll be doing:
support the integration of our latest network interface cards (nics) with major cloud providers.
assist with the deployment of new supercomputer technologies and data centers.
build and maintain customer trust by understanding and addressing their needs.
collaborate closely with r&d teams to develop and refine features based on customer requirements.
lead efforts to resolve complex and high-profile customer issues.
provide constructive feedback to engineering and marketing teams regarding product requirements.

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.
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

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.