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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. 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.

We are looking for an excellent Software Manager to join the Switch SDK Group and lead a team of powerful software engineers. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of our products and technologies. We have been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.

Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

Leading and managing a dynamic team of engineers, ensuring smooth and efficient project execution.

Developing and implementing our Ethernet SDK with a focus on high-performance and reliability.

Collaborating with teams from other subject areas to identify technical requirements and successfully implement innovative solutions.

Following established guidelines and standards to ensure the delivery of high-quality products.

Continuously striving for excellence, improving team performance, and driving innovation.

We are now looking for a best-in-class Chip Design Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer in our GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays semiconductor industry - our GPU Super-Chip.

What youll be doing:

Work in a DV (Design Verification) team that has a global responsibility over deliverable units and clusters to the silicon GPU.

Integrations and Full-Chip models.

Verification of chip blocks/entities according to specifications under challenging constraints.

Your daily work will involve all aspects of Design Verification : Planning, Coding, Coverage and Integration.

Responsibilities:
* Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
* Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
* Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
* Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.

We're on a mission to redefine vehicle safety and reliability globally. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, which represents the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek an experienced technical leader to lead our MLOps Engineering team leader In this role, you will lead a team of developers and build and maintain our Machine Learning infrastructure and deployment pipelines. This role combines technical expertise in Machine Learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how youll make an impact:
* Build, recruit, and lead a team of backend engineers.
* Architect and implement enterprise-scale MLOps infrastructure
* Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
* Design and optimize model-serving architectures
* Ensure high availability and scalability of ML systems
* Collaborate with Algorithm Engineers to deliver innovative solutions.
* Partner with product teams to align ML solutions with business objectives
* Communicate technical plans and progress to stakeholders
* Establish and enforce MLOps standards and best practices

We are looking for an excellent Software Engineer for the Switch SDK Group. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of NVIDIAs products and technologies. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.

What youll be doing:

Design, develop, optimize and maintain APIs, tools and libraries for Switching, Routing, Analytics, Telemetry and many other modules.

Collaborate with team members, Architects, QA teams, and customers (both external and internal).

Innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions.

The DOCA team is seeking a highly motivated and experienced engineer with hands-on technical expertise to develop the SDK for the next-generation Data Processing Unit, with a wide range of features and embedded systems. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers across the world. 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.

Our Networking Software Group is rapidly growing, and we are hiring software engineers for the networking Switch Software Verification team. Come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovative and develop groundbreaking solutions.

As a member of the team, you will be a part of cutting edge Python-based SW project using advanced techniques such as white box testing, multi-thread environment and more. You will gain unique knowledge of how switch operating system works and how large scale networks are constructed. Teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. Are you ready for this challenge?

What you will be doing:

Design, develop, optimize and maintain APIs, tools and libraries for Verification networking infrastructure.

Collaborate with team members, Architects, design, QA teams, and customers (both external and internal).

Design, develop, execute and maintain tests automation for release features.

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.

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 are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.

Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.

Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.

Taking part inflows development.

Our System Product Engineering (SPE) organization is looking for a Security Software Engineer to join the TDE (Test Development Engineering) Security Team. This role focuses on designing, developing, and deploying security-critical software that protects our next-generation products throughout development, validation, and production. You will work on the most sensitive and business-critical portions of the SPE delivery and production pipelines, taking ownership of production-line security and collaborating closely with DFT, architecture, test development, and validation teams to ensure security is built in end-to-end.

What youll be doing:

Design and develop security-critical backend services, libraries, and tooling that protect SPE systems, validation flows, and production delivery pipelines.

Own and implement production-line security mechanisms, ensuring secure bring-up, test, validation, and manufacturing handoff.

Develop and integrate security features such as authentication, attestation, secrets and key management, integrity checks, and audit mechanisms.

Build secure automation frameworks and tooling embedded into test execution, validation, and manufacturing workflows.

Collaborate closely with DFT (Design for Test), Architecture, test writers, and validation teams to define security requirements and translate them into robust, scalable software solutions.

Participate in secure design reviews, threat modeling, security features for SPE board components and production flows.

Improve the security posture, reliability, observability, and maintainability of SPE systems and services.

Support and influence secure CI/CD and release pipelines, including vulnerability detection, policy enforcement, and controlled deployments.

Investigate, debug, and remediate security vulnerabilities and systemic weaknesses across SPE systems spanning development through production.

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of ourstrength 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 youll be doing:

Troubleshoot incoming support requests in a large-scale HPC environment.

Contribute enhancements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation.

Ensure compute servers are running correct Operating System and configuration.

Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.

Collaborate with specialist teams to drive issues to closure.

Collaborate with domain experts to improve how our chip development process utilizes our infrastructure.

Directly contribute to the overall quality and improve time to market for our next generation chips.

We are 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 NVIDIA innovative Virtual switch which use our DOCA SDK for accelerated packet processing using NVIDIA's 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.

Join our DOCA Verification team as a Senior Software Verification Engineer and help shape the future of Data Processing Unit (DPU) and network interface cards software. We are seeking a highly motivated and skilled engineer with hands-on technical experience to verify the design and implementation of next-generation software features, with a focus on solving modern hyper scaler advanced networking aspect like congestion control and optimized network usage.

What you'll be doing:

Collaborate with software, architecture, product, and DevOps teams to define test requirements, coordinate releases, and deliver high-quality products.

Take end-to-end ownership of features: develop test plans, implement, and fully automate testing (primarily in Python).

Design, build, and maintain automated test scripts and frameworks.

Validate software functionality and performance through system-level and integration testing in Linux-based and virtualized environments.

Analyze test results, file bugs, track issues to closure, and ensure robust solutions.

Drive continuous improvement in verification flows and contribute to process and methodology enhancements.

Set up, maintain, and optimize test environments using Linux, Docker, and virtual machines.

Monitor nightly regression systems, analyze failures, and provide thorough root-cause analysis across hardware, OS, and software layers.