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we are looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

we are looking for a Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation.

we are looking for a SW Automation and Validation Engineer.
In this role, you will design, develop, and maintain automated tests and infrastructures to ensure the highest quality and reliability of our products.
You will work with Agile methodologies and engage with multiple programming languages, mainly C++.
Key Responsibilities:
Develop and maintain automated tests and infrastructures in C++. Validate software functionality against system requirements and specifications. Collaborate globally with validation engineers and software developers to learn new features and create corresponding test plans. Validate tests results and identify bugs. Investigate, document, and track bugs, working closely with development teams to ensure timely resolution. Continuously improve test coverage and test automation infrastructure. Use innovative and state of the art technologies in test automation and quality engineering.

We are seeking a highly skilled and motivated VLSI Backend Team Leader to join and lead our dynamic team.
As part of this position, you will lead a team of experienced engineers working on parallel projects, and play a crucial role in the design and implementation of complex designs, flow development, and the latest technology node bring-up and integration.
The Backend team leader will be required to do 50% hands on work and 50% managerial work.

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 team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale. We are in search of a top-tier AI Agents Solution Architect to work closely with hardware architects, verification engineers, GPU performance experts, and software developers to develop end-to-end agent flows that drive significant enhancements in simulation analysis, kernel optimization, and developer efficiency.

What you'll be doing:

Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.

Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in our HW simulation analysis and GPU-kernel optimization workflows.

Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions.

Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.

Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for our teams.

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, 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 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.

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. 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.

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.

We are looking for a Formal Verification Developer

Nvidia Networking Formal Verification tool development team is growing and looking for an outstanding computer scientist to join the team as a key player. Our main goal is to develop state of the art formal verification technology. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:
Develop formal verification technologies.
Carry innovative ideas from research through development and up to acceptance by team of formal verification engineers.
Collaborate with different teams in the organization to provide end to end formal solutions.

In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Lead the end-to-end execution, tracking, and convergence of chip-level CDC and RDC for complex SoCs across all IPs and partitions.

Plan and orchestrate CDC/RDC signoff: define methodology, scopes, run plans, constraints, and acceptance criteria.

Run and maintain CDC/RDC flows and rule decks, including multi-mode, multi-clock, and hierarchical signoff.

Triage violations efficiently: root-cause to RTL, constraints, tool setup, or IP models; prioritize and drive fixes to closure with owners.

Verify reset architecture and RDC robustness (reset domain intent, release sequencing, glitch detection, fanout).

Author and review CDC/RDC constraints, waivers, and justifications; ensure auditability and signoff quality.

Automate runs, report parsing, dashboards, and KPIs for closure tracking using scripting and data tooling.

Partner with RTL, DV, DFT, STA, PD, and Architecture to align fixes, manage ECOs, and protect CDC/RDC quality during late design changes.

Define and enforce signoff gates; communicate progress and risks with clear metrics and issue tracking.

Continually improve methodology and training to prevent recurring CDC/RDC issues and accelerate convergence.

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.