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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, 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.

Our DOCA team is seeking a highly motivated and hardworking experienced Engineer with hands-on capability technical experience, to design and implementation the SDK of the next generation Data Processing Unit Software, with a wide range of features related to cybersecurity 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. At NVIDIA, We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:
Work with some of the best engineers to design and implement DOCA SDK and infrastructure.
Responsibility for the E2E development of DOCA SDK features.
Design and develop SDK libraries for networking, storage, cyber security, and high-performance computing.
Work with big companies to solve real issues that require innovation and customer orientation.

We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.

What you will be doing:

Plan and build complex cluster and supercomputers in various of data center and labs.

Rack stack and cable management to ensure efficient use of space and easy maintenance.

Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization.

Data centers and labs daily operation and support.

Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI.

Perform troubleshooting - network, optic cabling, bare metal, operating system.

Support Research & Development activities.

We are looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work on the interesting junction of electrical and software engineering, when developing SW tools and solutions used to design the next generation Smart Adapters, Switches and GPUs for the advanced data centers across the world.

What you'll be doing:
Develop innovative SW solutions.
Take part in defining methodologies affecting design and verification engineers day to day work.
Improve existing tools, which are used in-house by electrical engineers for designing the next generation leading AI chips, SoCs and Switches.
Collaborate with designers, verification specialists and architects to accomplish your tasks.

We are looking for a versatile Senior Software Engineer to join our DPU Platform team. This is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. You will use your expertise in low-level embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.

What you'll be doing:

Designing and developing low-level system software with a primary focus on bootloaders (ATF, UEFI), firmware, and hardware initialization.

Working together with hardware and design teams to drive SoC bring-up and platform enablement.

Solving complex challenges related to boot sequences, system optimization, and hardware resource management.

Supporting various internal and customer DPU projects alongside our global teams.

Taking part in all stages of the product lifecycle, with a focus on high software quality and stability.

Collaborating within a global software environment to have a broad impact across the company.

We are looking for a passionate Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class NICs and Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are looking for a passionate, modern software engineer or junior architect early in their career. The role involves developing and prototyping new scalable training and inference advancements using our Spectrum-X AI fabric.

This role offers a rare opportunity to work on innovative AI and networking technologies, building prototypes that influence the development of large-scale AI systems. You will help improve AI application-network interaction by refining communication, crafting congestion control, contributing to NIC and switch capabilities, and enhancing AI factory performance at scale.


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 our AI infrastructure and products.

We are now looking for a TensorRT-LLM Software Development Engineer! We are hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and Generative AI that have put DL at the iPhone moment for AI. Join the team which is building the inferencing software which is foundational to product lines within us and across the industry! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.

What you'll be doing:

Craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance.

Performance analysis, optimization, and tuning for Large Language Models (LLMs)

Conduct unit tests and performance tests for different stages of the inference pipeline.

Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM.

Write safe, scalable, modular, and high-quality (C++/Python) code for our core backend software for LLM inference.

Collaborate across the company to guide the direction of deep learning inference, working with software, research and product teams.

We are looking for a Senior Software Development Engineer to contribute to cutting-edge Network Management System of the most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to develop and verify advanced, high-scale SDN management solutions. You will be part of a dynamic team, working with amazing people.

What Youll Be Doing:

You will have a significant impact in developing the next-generation Unified Fabric Manager (UFM) product.

Help drive the underlying technology stack and implementation methodology, ensuring it competes at a world-class level.

Collaborate closely with other SW R&D teams and SW Architects to successfully implement ambitious projects.

Engage in performance tuning and automation to build a flawless operational environment.

Design and implement micro-services architecture to support our advanced, high-scale SDN management solutions.

Work in an agile environment, ensuring continuous improvement and innovation.

Our Network Management Group develops the core software applications that manage and monitor NVLink and InfiniBand networks. Our applications handle critical tasks such as routing configuration, access control, resource management, and network error detection and recovery. These applications power the world's most advanced supercomputers and form the backbone of infrastructure for leading AI training workloads.

We seek an experienced Software Engineer eager to contribute to system design, implementation, and automatic tests.

What you'll be doing:
Design, develop, and optimize a user-space server application, written in C++, responsible for handling large-scale InfiniBand/NVLink networks.
Collaborate with multiple teams to develop new features/improvements in our multi-functional environment.
Improve and maintain automatic test systems written in Python.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform. Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems. Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.

This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.

Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.

Key responsibilities:
Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

Join our group of DevOps engineers, where we address large-scale challenges and drive innovation through cross-organizational projects. We design scalable and resilient solutions, implement cutting-edge technologies, and optimize automation to enhance reliability and efficiency.
Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.
Job Responsibilities:
Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.