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we are looking for a senior software engineer to join our team developing software solutions to control nvidia hw in Python on Linux for various internal engineering groups, including chip designers, algorithm engineers, phy characterization engineers, optics engineers, and other r&d teams. our work includes building and maintaining a framework, as well as developing gui tools that support complex engineering workflows. this role combines advanced software engineering with a hardware-oriented perspective - the ideal candidate should have both the interest and background in areas such as hardware, Linux systems, and low-level drivers.
collaborate with the development team to improve existing framework and tools, suggest creative solutions, and develop new projects.
in our group, software engineers are responsible for the full lifecycle of solutions - from defining requirements and designing architectures to implementation, integration, and delivery. this approach allows every team member to grow professionally, develop a broad skills, and unlock their full potential.
what youll be doing:
design, develop, and maintain Python -based software solutions (framework, internal tools, gui applications with pyqt).
collaborate with internal customers - including chip designers, algorithm engineers, optics engineers, phy characterization engineers, and other r&d teams - to understand requirements and translate them into robust solutions.
take full ownership of projects: define the solution, design the architecture, implement, integrate, and support production-ready tools.
extend existing framework and tools, while also designing and implementing new ones from scratch.
work within Linux environments, integrating software with hardware interfaces, drivers, and engineering workflows.
apply oop principles and design patterns to build scalable, maintainable software architectures.

looking for a Hardware Engineer for our system product engineering group. the candidate will take full responsibility for networking systems product support engineering matters. the position requires an understanding of hardware, firmware/software, mechanical integration, and manufacturing. the candidate will supervise product engineering activities in a various cm (contract manufacturing) lines, working closely with groups across the networking organization: hardware/software/firmware r&d, architecture, TEST engineering, quality & reliability, and operations groups. the candidate will take part in direct communications with nvidia internal and external teams. the position provides an opportunity to gain deep knowledge of nvidia networking systems and a system -level view of our solutions, along with working in a dynamic and positive environment.
what you'll be doing:
leading cross-organizational task forces: you will be responsible for managing and leading cross-functional teams to address quality events and failure modes in nvidia's networking products. this involves coordinating efforts from various departments, such as hardware, software, and manufacturing, to collectively work toward identifying and resolving issues
root cause analysis and TEST planning: you will perform in-depth root cause analysis by meticulously analyzing failure modes monitor and control the TEST yield for all stations
onsite engineering support: you will be the technical owner for all TEST issues, TEST infrastructures, and TEST setup and will have to deliver fast and professional responses for all issues
the workplace is located at the Flex factory in migdal haemek, israel

as a senior team member, you will be part of a development effort of high-performing software automation systems fordata  center environments. you will interact with nic, os, switch, hca, cpu and gpu compute as well as architects, network engineers, and developers. we drive the data growth of the worlds biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what youll be doing:
design and develop an automation platform used to provision, configure, and monitor hpc data centers.
implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
participate in code reviews, technical design discussions, and continuous improvement activities within the team.

in this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale gpu- and cpu-based clusters used in ai and high-performance computing environments. you will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. this is a fast-paced r&d environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
what youll be doing:
profile, benchmark, and analyze ai and hpc workloads on gpu and cpu clusters
explore performance characteristics of high-performance networking and collective communications (e.g., nccl, rdma, mpi, roce)
identify performance bottlenecks across networking, compute, memory, and system architecture
develop and enhance performance analysis, benchmarking, and diagnostic tools
define performance TEST plans and establish expectations for new technologies and platforms
collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
support telemetry collection and data refinement efforts to enable accurate performance analysis
maintain high standards for  data quality, reproducibility, and traceability of performance results

we're united in our quest to transform the way smart adapters are used.
what you'll be doing:
collaborate with skilled engineers to design and implement the doca sdk and infrastructure
take charge of end-to-end development for various features within doca
design and develop sdk libraries focusing on networking, Storage, and high-performance computing solutions
partner with major companies to address real-world challenges that demand innovative solutions and a customer-centric approach

as a senior software engineer in the doca verification team, you will play a key role in designing and developing the verification infrastructure for the nvidia doca sdk. this infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. it includes mechanisms for error handling and fault recovery, while TEST results are stored, analyzed using advanced tools, and presented through live dashboards and reports. your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.

we are in search of a top-tier ai agents solution architect to work closely with hardware architects, Verification engineers, gpu performance experts, and software developers to develop end-to-end agent flows that drive significant enhancements in simulation analysis, Kernel optimization, and Developer efficiency.
what you'll be doing:
develop innovative ai flows to improve hardware and software through collaboration with various engineering roles.
facilitate co-creation workshops to transform sme rules of thumb into specific assignments, resources, cues, and guidelines. define success measures, evaluation data, and feedback loops for agents to make a measurable difference in nvidia's hw simulation analysis and gpu- Kernel optimization workflows.
rapidly prototype and thoughtfully productize; integrate with internal services, utilize gpu capabilities, remove bottlenecks, and deliver fitting solutions.
set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
mentor and improve teams through insights in agent orchestration, prompting, rag, observability, crafting documentation and playbooks for teams.

our company is looking for an excellent software Developer whos passionate about networking, encryption and virtualization to join the cloud networking r&d team. we are seeking an experienced engineer who is deeply technical, hands-on, and has a wide system view. you will work on our innovative virtual switch which use nivida doca sdk for accelerated packet processing using our superior connectx nics and bluefield dpus. we are looking to grow our teams with the most resourceful people in the world. if you're creative and autonomous, we want to hear from you!
what youll be doing:
design and implement new features to accelerate network and Storage
develop pioneering virtual switch which use our hw offload capabilities.
driving a complete engineering process, including refining requirements, engineering design of data structures/algorithms, implementation, peer review, Developer testing, and post-ga support.
drive sophisticated technical issues to closure that may occur in the cross-team boundary.

looking for senior software program manager that will be responsible for software programs and projects. the pm should drive planning and execution of fw/sw projects while aligning with corporate priorities and constraints.
 a leading supplier of innovative end-to-end infiniband and ethernet connectivity solutions and services for servers and Storage. we offer best-in-class solutions that include adapter cards, switches, cables, and software to support networking technologies. our products optimize data center performance and deliver industry-leading bandwidth and scalability. in addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, Big Data and web 2.0. we are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. our product line is focusing on delivering the most optimized ethernet solutions for industries like media and entertainment as well as any other industry that can benefit from our datastream and tcp/ip acceleration. 
what you'll be doing:
you will manage the networking software programs for nvidia next generation ai  data centers 
responsible to coordinate between all project stakeholders such as marketing, engineering teams in il and around the world, operations, etc. from initial requirements definition through architectural stage, execution, and delivery.
develop and execute feature planning and prioritization of perception capabilities to meet the software programs' needs
identify risks, gaps, and bottlenecks in time, and find resolution with technical leaders and project management
work with product managers, architects, and engineers to ensure consistency with company strategy, commitments, and goals

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

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.

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

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.