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We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

We are looking for a highly motivated and experienced Software QA Engineer to join our DPU Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience. The candidate will take part in wide areas of Software testing, systems testing, networking and automation in Linux environment.

What you'll be doing:

Design, Develop and Execute tests (manual and automatic).

Learn new networking standards, features and protocols and improve QA coverage.

Participate in reviews and provide feedback on product feature requirements, specifications, and technical design documents.

Collaborate with various team including project management, hardware, and software developers, provide technical analysis of bugs.

Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity.

Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency.

Define and build setups topologies for appropriate product coverage.

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.

Were currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like us? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams.

We are seeking a Senior Customer Program Manager - Generative AI 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 you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer 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 high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

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.

We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer at NVIDIA, you will have to work closely with NVIDIAs development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of NVIDIA products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing NVIDIA products

Build automated verification environment for high-end hardware and software which is at the forefront of innovation

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

We are seeking a DevOps Manager to lead a team of engineers in developing and supporting scalable CI/CD processes for our Networking products, enhancing global R&D efficiency. The role requires over five years of DevOps experience, leadership skills, proficiency with Jenkins, Git SCM, and programming in Python, Java, or Groovy. It involves collaborating with distributed teams to improve development methodologies and infrastructure. Preferred qualifications include experience with Linux system administration, containerization tools like Docker and Kubernetes, and managing complex infrastructure projects in fast-paced environments. Join us and help us to take our CI/CD infrastructure to the next level! You will have a unique opportunity to have a real impact in a dynamic, technology-focused company shaping the future of networking and data-center technologies. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!

What youll be doing:

Supervise a team of 4+ experienced and high motivated DevOps engineers.

Architect, implement and support scalable CI processes for multiple NVIDIA Networking products.

Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices.

Build infrastructure for effective, high quality, reliable development and release processes for our products.

We are 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.

What you'll be doing:
You will manage the networking software programs for our 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 are at the forefront of technology transformation and there is an exponential lab support demand. We are growing in the DOCA team to provide a more robust and deeper hands-on support for our labs. In this position you will provide daily operation support to our R&D engineering activities in the lab.

What you'll be doing:
Provide lab support in the region and perform as front-line lab liaison/ambassador with our internal DOCA developers.
Solicit lab demand and translate into professional concrete scope of work or the greater IT/Lab/Devops teams in our company.
Document and supervise all assets and solution design.
Develop and maintain work processes and procedures for lab support including asset management, improving utilization and more.
Support and expand lab monitoring applications, with a solid focus on CI/CD automation.
Work closely with DevOps teams for collaborative enhancements in HW and SW tools.
Physical racking and stacking of assets in the relevant region.
Analyze and resolve critical engineering issues, often under tight timeframe pressures; Off hours and on-call hours are to be encouraged.

The Enterprise Network Support and SRE team is looking to add a seasoned Technical SRE lead to help actualize the SRE vision for our network infrastructure. We are looking for an engineer who is passionate about the network and making its operation seamless with a focus on user experience. This role will offer several opportunities to solve problems by being hands-on with troubleshooting, focused on network automation, observability, documentation, and excellence in operations. This Network SRE will be dedicated to enhancing network operations, diligently working to minimize manual labor and achieve Service Level Objectives (SLOs) amongst many goals. Our approach includes minimizing reactive operational tasks, documenting KB articles that can be used by Bots, following through on RCAs, conducting blameless postmortems, and proactively identifying and mitigating network risks to foster continuous improvement.

This crucial role will be focused on user satisfaction and brilliance in Network Operations. This SRE engineer will focus on tackling significant projects and is committed to fostering a supportive atmosphere that offers the mentorship necessary for professional development and growth. They will bring a wealth of skills and experience to be a sought after mentor, who leads by example.

What you'll be doing:

Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability.

Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards.

Advocating for and implementing automation to reduce toil and enhance operational efficiency.

Monitoring network performance, identifying areas for improvement, and coordinating with relevant teams to execute enhancements.

Collaborating with SMEs to resolve production issues swiftly and effectively, maintaining customer satisfaction.

Identifying opportunities for operational improvements and partnering with teams to develop solutions that drive excellence and sustainability in network operations.

Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.

What youll be doing:

Develop low-overhead, high-reliability implementations in C/C++, with bounded CPU/memory budgets.

Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.

Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.

We are looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for our Data 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.

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!

We are 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.