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As an AI/ML Solution Engineer in the AI-Native Development team, you will design and build AI-powered development pipelines, evaluate ML approaches for code generation and review, and drive the adoption of AI-assisted software development across the organization. You will work at the intersection of machine learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make AI-generated code reliable, high-quality, and trustworthy.

What you'll be doing:

Drive architecture, applied research, and hands-on development by defining and building AI-native software engineering solutions.

Design and build AI-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.

Evaluate and select ML approaches for specific problems: when to use LLM prompting vs. fine-tuning (QLoRA), classical ML (random forest, linear regression) vs. reinforcement learning, RAG vs. structured extraction.

Architect feedback and evaluation systems that measure and improve AI output quality over time.

Review and refine AI solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.

Lead proof-of-concept development to validate new AI/ML approaches for development tooling.

Collaborate with the core team to define risk-based development levels and calibrate AI review depth per level.

We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.

This role brings together horizontal ownership across engineering process, security coordination, developer productivity, DevOps, integration, and product usability. The leader will define clear operating models, remove execution friction across organizational boundaries, and ensure that DOCA software, tools, and workflows are robust, secure, integrated, and intuitive from development through deployment. The ideal candidate is comfortable leading people, working across engineering groups, understanding complex system-level software, and translating operational, security, integration, and usability challenges into clear priorities, ownership, and measurable improvements.

What you'll be doing:

Lead the DOCA Process and Productivity function, including cross-organizational process execution, DevOps, integration, UX/usability, security process coordination, and developer productivity initiatives.

Own and improve operating mechanisms across DOCA R&D, QA, release, security, integration, DevOps, lab infrastructure, and partner teams.

Serve as the Security Point of Contact for the DOCA framework, driving secure development workflows, vulnerability handling, security reviews, incident management, and alignment with NVIDIA security requirements.

Drive improvements in build, validation, release readiness, automation, CI/CD, lab workflows, deployment experience, documentation, and end-to-end engineering productivity.

Lead, mentor, and grow teams while helping the organization make multi-team workflows more predictable, transparent, secure, automated, accountable, and efficient.

Our team is seeking a highly motivated and hardworking Automation Infrastructure Engineer, to design and implement the infrastructure for the SDK verification group 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. Were united in our quest to transform the way Smart-Adapters are used!

What youll be doing:

As an Automation engineer in the DOCA SDK Group, you will apply your knowledge and expertise in automation to create, enhance, and maintain our DPU communication solutions:

Develop tools and automation infrastructure to deploy testing on new systems and platforms, including multiple Operating Systems and architectures (x86, ARM, Ubuntu, Centos, Windows etc.)

Build tools and infrastructure to visualize and analyze the tests information

Come up with new insights and approaches to solve sophisticated problems

We are looking for Senior Software Engineer to join the Cumulus Linux team! We present you with an opportunity to be part of the team that develops the Network Operating System that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. You'll be part of a software development team responsible for defining and implementing core platform services, as well as Reliability, Availability and Serviceability features for Cumulus Linux, the Debian-based operating system for NVIDIA's market-leading Ethernet switches.

What you'll be doing:

Design and develop software for Cumulus Linux operating system (OS) which runs on our portfolio of data center switches.

Work on bringing up Cumulus Linux on next generation Nvidia switches.

Develop and maintain software in Python, C and Shell for our OS.

Collaborate with product, architecture, and engineering teams to deliver features on Cumulus Linuxs roadmap.

Debug and resolve issues reported by test and customer-facing teams.

Work with open source software that is part of our OS and fix issues as and when they are raised.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. We have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have our Switch products running with SONiC NOS in production in different clusters over the world.


What you'll be doing:

Design and implement features as part of the SONiC release train on top of our Switch products.

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

Our Networking OS Software Verification Group is rapidly growing, and we are hiring a Software Verification Engineer for the NVLink & InfiniBand Switch Software Development team. As a member of the team, you will take part in our core projects which drive the growth of the company tech and business wise, you will gain unique knowledge of how switch operating system works and how large scale networks are constructed, and how verification works at scale.

Are you ready for this challenge?

What youll be doing:

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

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

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

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 are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.

What youll be doing:

Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities.

Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.

Architect and deliver LLM-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and test flakiness prediction.

Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling.

Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane.

Joining our team, you will have the opportunity to excel and develop brand new switch products for one of the world's leading companies! We are seeking an experienced Software Engineer to join the Networking Switch SW group, developing the BMC switch Operating System (OS). Key role in developing BMC critical for our next-gen networking tech for HPC data centres. Are you passionate about working on innovative technologies? Then we want to hear from you!

What you'll be doing:
Owning and leading the BMC operating system including development, testing flow and product life cycle.
As a Senior Software Engineer, you will use your expertise in C++ and Python to develop BMC operating system features and support new products.
Lead BMC integrations with OS, hardware, and production teams.
Crafting new hardware simulation utilities to enhance regression coverage capabilities.
Support internal and external customers for any BMC related items.

We are looking for a Principal Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

What youll be doing:

Join the cluster-manager team - the TOMA team. The cluster-manager is a highly distributed code that interacts with all the other components and is responsible for the life-cycle of the volumes and their RAIDs.

Design and develop cluster-manager functions

Coordinate testing of cluster-manager functionality with the QA team

Acquire understanding of the algorithms, the technicalities and the interaction with the other components

Analyze challenging bugs and customer cases, identifying issues in the cluster-manager and often in other components

Drive new solutions based on any issues that arise

100% hands on role - large scale production system. The work involves feature design and implementation, debugging, and maintaining existing production code written in C/C++.

We are seeking a Software Developer who can see the big picture. This essential role will give you an opportunity to craft and deliver a new class of user-space applications and kernel space drivers. You will join the storage software team. The team is responsible for developing storage drivers & storage emulation solutions.

What you will be doing:

End-to-end responsibility for major features in user space and kernel applications.

Maintain and enhance storage Linux Kernel drivers.

Participate in enhancing our cutting-edge technology storage solutions
Work with partners and customers worldwide.

Drive performance tuning, usability improvements, and test automation.

We are looking for a top-tier, high-energy Senior Software Engineer to join our Networking Devices Management Tools group. We build the mission-critical tools used worldwide by tech giants and open-source communities to configure, manage, and debug our cutting-edge networking hardware used as part of our AI super computers. If you are highly motivated, love solving complex problems, and thrive in a fast-paced, dynamic environment - we want you with us!


What you'll be doing:

As a key player in our Agile team, youll design, implement, build, and own next-gen management tools specifically for our networking products.

Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices.

Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices. Youll build cross-platform solutions supporting both Linux and Windows, leveraging cutting-edge AI tools (Cursor, Claude, etc.) to supercharge your development workflow.

Own & Deliver: Take features from architectural solutions to technical design, estimation, deployment, and testing.

Collaborate & Influence: Partner with multiple hardware and software dev teams across the Networking BU. You will represent the team and drive technical presentations across major cross-company projects.

Grow Continuously: Expand your technical capabilities in a high-octane team that never stands still.

We are looking for a Senior Software Engineer to join the SDK Verification team. The SDK enables developers to rapidly create applications and services on top of our BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:
Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services.
Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues.
Debug and analyze complex system-level issues to identify root causes and drive timely resolution.
Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of our services.
Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation.
Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the platform.

The NVIDIA Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading NVIDIA devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with NVIDIA partners and customers.

We are seeking to hire an expert Firmware Design Engineer for the Ethernet Switch Firmware Core team. The next generation of Switches are a crucial component of the most innovative AI and Cloud Computing Networks in the world. As a member of the Ethernet Firmware Team, you will craft and develop the firmware abstraction layer in the ETH Switch. This role will require you to participate in the design & development of firmware while working closely with hardware and architecture team to ensure timely delivery of our products to the market.

What you'll be doing:

Highly involved in the entire software development process from architecture to integration testing of firmware for the Spectrum ASIC product line.

Work with HW & ASIC team to provide insights into developing the next gen of the groundbreaking of silicon and systems.

Design and implement algorithms to improve system scale and performance.

Work with higher layer software teams to debug issues reported by customers (internal and external).

Design, implement and integrate new features according to the product roadmap.

Have a new insight on how to improve our software? Why not! Bring your ideas to life by innovating during our hackathons

Collaborate with other R&D teams around the globe.