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

What youll be doing:

Participate in an international team of software engineers working on products for testing our 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 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 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 a phenomenal engineer to join the chip simulation team for networking chips and GPUs.

This simulation platform enables our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.

What Youll Be Doing:
Develop and maintain simulation components for the physical layer of our high-performance networking chips (e.g., GPUs, switches, NVLink, Ethernet...).
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
Define, implement, and validate simulations of features such as link training, error injection, and transceiver behavior, making the simulation platform a go-to internal platform for development and debugging.
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

We are looking for an outstanding Senior Technical instructor to join our Education Services team. In this role, you will provide advanced training on our data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate our-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What youll be doing:

Deliver in-person and remote technical training on our data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.

Lead lab-based training sessions that walk learners through end-to-end workflows on our GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.

Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.

Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.

Act as a technical ambassador for us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.

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 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.

Your experience at our company will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Get ready to:
Be a part of a truly cross-functional team
Participate in product planning (From discovery all the way to deployment); We want your input at all stages of the Software Development Lifecycle!
Collaborate! Our teams work together to develop robust new features, APIs, continuously improve our industry-leading products and find and fix any bugs at our company Speed.
Ensure our customers receive a white-glove experience with our products!
What the Giger Team Does
The Giger team builds and maintains one of our companys most powerful internal platforms: a sandbox system that enables engineers to develop, test, and deploy faster than ever. Giger allows product teams to spin up fully functional, production-like environments in minutes, complete with real databases, services, queues, and storage. Each sandbox is completely isolated, empowering teams to experiment freely, test infrastructure changes, and validate code safely at scale.
What Youll Do
Design, build, and maintain the control plane that powers hundreds of dynamic developer sandboxes
Develop backend tooling and services that automate sandbox creation, orchestration, and lifecycle management
Productize and provide infra as a platform including DBs, caches, object storage and queueing systems
Scale & tune the cluster to provide capacity for volatile workloads. Youll become hands on with Karpenter/VPA/KEDA policies, right-sizing, pod density, bin-packing, and scheduling strategies for diverse, bursty workloads
Constantly track and optimize costs to be efficient. At our k8s scale all tiny decisions matter, from compute to storage and data transfer
Own the networking setup to mimic what we have in Production but pair it with greater DevEx at scale of hundreds of sandboxes - traffic routing and interception, ingress tuning, serving assets
Implement and evolve observability within sandboxes
Partner with Sandboxes SRE team to ensure uptime and reliability of hundreds of sandboxes daily
Work with our company engineering to improve their DevEx and productize day to day needs into self-service platform.