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seeking an exceptional senior software engineer  to help design and build our next-generation cloud platforms. were looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure powered by kubernetes, connectx, bluefield nics, and gpus. youll join a dynamic team developing high-performance computing infrastructure used in some of the worlds largest supercomputers and data centers. this is a fast-paced, collaborative environment where youll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.
what youll be doing:
design and develop scalable, cloud solutions to accelerate hpc and ai workloads using nvidias advanced technologies (gpus, dpus, connectx).
contribute to nvidias ai supercomputing platforms
collaborate with cross-functional teams to deliver new features and improve existing products.
design and develop robust software systems.

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

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 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.

we face with operating at scale to produce a best-in-industry solution and enable us to continue to provide unprecedented performance and reliability for our users. you will take on the challenges that come with operating and scaling our ever-growing gitlab deployment. in this role, you will design and code processes and automation tools to improve productivity managing and administering the scm systems and applications used by our globally distributed engineering teams.
what you'll be doing:
responsible for the full scm environment including application, os, and server hardware components, developing the continued automation and innovation needed for our large environment
create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide
be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support
lead or contribute to gitlab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes
learn and greatly improve the daily productivity of the worlds top chip designers and software engineers

seeking a passionate senior software engineer to join our Embedded processing software sdk development team. we are seeking hardworking and experienced engineers to contribute to the development of advanced networking and Embedded processing software. you will be part of a team developing next-generation Embedded processor sw, working closely with other sw r&d teams and sw architects.
what you will be doing:
design and develop advanced features for our world-class Embedded processing
write clean, efficient, and maintainable code using advanced ai-based tools
collaborate with team members, sw r&d, architects, compiler team, and fw

we are looking for a versatile senior software engineer to join our dpu platform team. this is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. you will use your expertise in low-level Embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.
what you'll be doing:
designing and developing low-level system software with a primary focus on bootloaders (atf, uefi), firmware, and hardware initialization
working together with hardware and design teams to drive SOC bring-up and platform enablement
solving complex challenges related to boot sequences, system optimization, and hardware resource management
supporting various internal and customer dpu projects alongside our global teams
taking part in all stages of the product lifecycle, with a focus on high software quality and stability
collaborating within a global software environment to have a broad impact across the company

in this role, you will play a critical part in advancing cumulus Linux, a leading networking operating system and a cornerstone of the ai factory - the next-generation data center designed to power the training, fine-tuning, and deployment of ai models at scale. you will work closely with cumulus Linux design and architecture teams while gaining deep insights into nvidias products and technologies.
what youll be doing:
manage, mentor, and guide a team of software developers.
oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.
drive timely, high-quality feature delivery.
collaborate with global, cross-functional teams to identify, track, and resolve issues.
analyze customer-reported issues, identify TEST gaps, and ensure robust regression coverage.
work with continuous integration systems and regression tools.
foster a culture of innovation, quality, ownership, and accountability.
support team members with career development plans and achievable growth goals.

we are looking for an enthusiastic software engineer to join our ai networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, gpu kernels and rdma network cards. our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.
we thrive as a team in a deeply strong environment, and we're passionate about innovation. the rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.
what you'll be doing:
developing a highly optimized inference framework
running on the worlds largest supercomputers and data centers.
the work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.

seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using nvidias spectrum-x ai fabric. this role offers a rare chance to pioneer ai and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale ai systems. improve ai app-networking connection by refining communication, crafting congestion control, coding nic firmware, and expanding switch sdk features for enhanced ai factory efficiency. your work impacts large ai system development, scaling, and speed.
what youll be doing:
prototype end-to-end solutions to improve distributed training and disaggregated inference performance.
analyze and optimize communication flows across application, transport, and network layers.
develop system software spanning communication libraries, drivers, and firmware integrations.
collaborate with hardware, firmware, and sdk teams to co-design network features.
validate and integrate prototypes into nvidias ai infrastructure and products.