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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.

conduct in-depth performance characterization and analysis on large multi-gpu and multi-node clusters.
study the interaction of our libraries with all hw (gpu, cpu, networking) and sw components in the stack
evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
triage and root-cause performance issues reported by our customers
collect a lot of performance data ; build tools and infrastructure to visualize and analyze the information
collaborate with a very dynamic team across multiple time zones

lead a team of 5 engineers in the advanced technologies development
design and implement solutions throughout all layers from high level application, os and driver subsystem to firmware
work on impactful projects involving state-of-the-art high-performance computing hardware and software
provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
collaborate with nvidia partners and customers

as a Senior Software Architect in the gpu networking architecture team, you will define software defined networking architectural solutions. you'll also 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, 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 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 nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

we are now looking for a senior hpc site reliability engineer to join our mission and continue improving our hpc infrastructure. a meaningful part of nvidias strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. we are looking for architects to help us evolve the way our private compute cloud is architected and optimized. 
what you will be doing: 
provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
identify architectural changes or completely innovative approaches in our cloud architecture and design. 
help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!

seeking a dynamic and highly motivated software director to lead our bluefield dpu platform software team. we are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality software development including low-level device initialization, Linux os drivers and Kernel configuration, boards bring-up and system management. 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. we believe our most valuable asset is our people and seek the very best to lead our outstanding team. this role requires close collaboration with teams across various fields (sw, hw, QA ) to elevate our product to the next level. 
what you will be doing:
mentor and expand your engineering team in the planning and execution of initiatives and projects with top quality and timely results.
coordinate feature design and implementation as well issue resolution, as this is a technical leadership role.
interact with internal and external partners to understand their use cases and requirements. collaborate with engineering teams, program and product management across the product roadmap.
continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are implementing in the most efficient and open manner.
develop a team of engineers who understand the bigger picture, value collaboration, and can take ownership of and implement designs from beginning to end.
be familiar with the open-source community process to advance industry-standard programming models and platform support while upstreaming and maintaining software into standard software distributions.

as an information systems business applications & integration Developer, you'll be an integral part of the esc and integration team and you will design, develop, implement, support, and act as a key professional authority within the team. we are looking for a strong, hands-on Developer to design and build integrations, using the iconduct platform as our primary integration tool. the role will also include ongoing development and enhancements across additional application systems, while serving as a central professional lead within the team, driving technical excellence and contributing to the units overall delivery and growth. what your job will look like?
a hands-on Developer creating ongoing integrations, scripts, and automation with the growing mobileye ecosystem.
build an integration architecture for all information systems and execute them.
collaborate with teams across the organization to gather requirements to improve their day-to-day work.
participation in discussions and meetings regarding best practices for building integrations.
maintaining the integrity and smooth functioning of the company's integration architecture.
leverage ai-based tools and technologies to enhance automation, optimize integrations, and improve system efficiency.