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. NVIDIA is 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.

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 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.

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 are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced ai models such as gpt and deepseek. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research various of solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

we are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used at almost every industry today, such as car and pharmaceutical. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research of various solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
developing models for simulations and performance testing, analysing the results and development of future hw and sw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are looking for a highly technical, customer-obsessed Senior Technical Leader to define and drive the usability, integration standards, and provisioning for these cutting-edge technologies. In this role, act as the technical champion for the DPU, ensuring our software stack and tools are robust, performant, and intuitive from day one. By bridging the gap between core R&D and real-world deployments, this position directly shapes how seamlessly the world's largest data centers adopt our platform.


What youll be doing:

Own the end-to-end BlueField and DOCA lifecycle, from out-of-the-box installation and configuration through field updates, provisioning, functionality, documentation, and performance.

Act as the essential bridge between R&D and the real world by collecting operational feedback from customers and internal stakeholders (developers, architects, integration teams, and QA).

Translate complex deployment friction points and customer pain points into actionable engineering requirements and architectural direction.

Perform hands-on prototyping, scripting, and system-level validation-installing the product, reproducing scenarios, and analyzing logs-to continuously elevate the platform.

Collaborate deeply with Core R&D, QA, and Solutions Architecture to guarantee new features meet strict usability standards.

We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team-someone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:

Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.

we are looking for a senior networking TEST engineer with strong systemlevel debugging skills to join our endtoend verification team. you will work on cuttingedge ethernetbased ai clusters, owning complex issues across hardware, system software and ai workloads. 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 largescale ai cluster behavior
build and maintain realistic customerlike testbeds, including heterogeneous hardware, os / driver combinations and complex network fabrics
own endtoend 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, datadriven reports to stakeholders
profile and benchmark deep learning training and inference workloads, correlating modellevel metrics with system and network telemetry to uncover bottlenecks

seeking a dynamic and highly motivated Software Senior Manager 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 us 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.