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We are looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the software infrastructure and tools that shape the future of Chip Design and Verification. This role works at the intersection of infrastructure engineering, tooling, and database ownership. Youll be responsible for the backbone systems that enable the development of our industry-leading networking chips - the highway for the AI revolution.

We're looking for a senior hands-on engineer who combines deep expertise in Python automation and SQL data flows with a passion for large-scale compute environments. If youre excited about optimizing critical systems, owning the health of compute farms, and driving reliability across cross-functional teams, youll feel right at home here.

What youll be doing:

Partner with Chip Design teams to solve engineering bottlenecks: Collaborate closely with Design, Verification, and Methodology teams to identify workflow pain points and deliver infrastructure solutions that directly improve chip design productivity and quality.

Build automation infrastructure: Design, build, and maintain robust Python-based automation infrastructure that orchestrates chip design flows, monitoring, and infrastructure tooling.

Drive data integrity and performance: Own the MySQL/SQL schemas, migrations, and data integrity for our infrastructure tools. You will optimize queries and indexes to ensure our databases scale with our massive growth.

Own the platform health: Take ownership of the day-to-day health, capacity, and reliability of our compute farm and storage systems. This includes leading incident response, triage, and implementing long-term fixes to ensure high availability.

We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.

Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.

Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We seek a highly motivated and experienced System Architect specializing in Data-Center, AI Fabric, and Ethernet Networking to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms.

Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics.

Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We are seeking a highly motivated Embedded Software Team Leader to own the execution of key components within the DPU BMC system. Seeking a candidate proficient in software development of embedded systems, taking ownership for team's tasks. Collaborate with team leaders, various teams, and customers to improve our product.


What you'll be doing:

Lead and manage a team of embedded software engineers, providing both personal and professional mentorship.

Drive the execution of assigned components from conception to delivery, ensuring timely software milestones and contributing to overall product releases.

Coordinate with peer team leaders to ensure seamless integration across the broader DPU system.

Engage in hands-on embedded software development using C/C++.

Establish and lead all developments and methodology aspects and process.

Take ownership for delivering functionality, stability, and performance of the system.

Collaborate closely with internal cross-functional teams and peer leaders (architecture, hardware, firmware, validation, product management).

Work directly with external customers to understand system requirements, use cases, and provide technical support.

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.
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 a passionate Senior 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 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 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.

We also take significant part in the Linux-foundation DPDK (dpdk.org) project, and expand the Mellanox PMD in particular, providing the framework and common API for fast packet processing in user space. Our goal is to enable breakthrough network performance, using our SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.


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 seeking a Senior Customer Program Manager - AI Datacenter 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 Youll Be Doing:

Define and manage program schedules, deliverables, and turning points aligned with customers and partners 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 field quality issues or high priority concerns with major enterprise customers, cloud service providers

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets with major enterprise customers, cloud service providers

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.

We are seeking a Senior Customer Program Manager - AI Datacenter 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 Youll Be Doing:

Define and manage program schedules, deliverables, and turning points aligned with customers and partners 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 field quality issues or high priority concerns with major enterprise customers, cloud service providers.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets with major enterprise customers, cloud service providers.

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.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

Join the AI & Automation Supply Chain Business Transformations team in our Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the senior systems architect in Operations, you implement our vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, integration, security, and lifecycle management, ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the worlds most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.

What you will be doing:

Capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop hypercare support model

Define and architect AI agents for Supply Chain use cases, using the right frameworks, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.

Be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions

Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and our own NeMo technologies.

Ensure integration with enterprise IT and Operations data sources and Industrys best Agentic platforms with strong content security focus.

Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.

Lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.

Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.

Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen our ecosystem.

We are looking for an excellent Software Engineer to join the NSV tools (Network Solutions Validation) group. As the team member, you will be part of a major development effort of high-performing software automation systems for our Data Center environments. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What Youll Be Doing:

Designing and developing an automation platform used to provision, configure, and monitor HPC data centers

Implementing scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency

Collaborating closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions

Improving stability and performance across the provisioning pipeline through architectural enhancements and code optimizations

Troubleshooting issues in distributed environments and contributing to system observability and reliability improvements

Working cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases

Participating in code reviews, technical design discussions, and continuous improvement activities within the team

We are looking for an experienced engineer to join our SW/FW testing team. This position will be part of QA group, which enables our products meet the industry leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of industry-leading features, be able to learn new features, execute manual and automated tests, and participate in automation development.


What you'll be doing:

Review arch design and requirements documents for new features introduced in different domains

Design, develop and implement tests for the new features, as part of SW/FW update releases

Automate newly added tests in the existing automation framework, add new capabilities and features to the framework

Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed

Perform tests in different scopes: regression, performance, functional, security; report progress of testing and provide summary reports of testing activity

Our Networking Research group is seeking a forward-thinking Engineering Manager with a product leadership approach to manage a team of Software Engineers, AI Agent Developers, and Researchers.

In this role, you will bridge the gap between brand-new AI research and practical engineering. You will lead the charge in integrating autonomous AI agents into the daily workflows of our architects, hardware designers, and researchers. You will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using our AI stack.

What you'll be doing:

Team Leadership & Strategy: Lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.

Product Engineering: Partner with internal engineering teams (Hardware, Architecture, Research) to analyze their workflows, identify friction points, and architect Agentic AI solutions to accelerate their work.

Applied Research: Actively monitor the latest AI trends, academic papers, and technical blogs (LLMs, Agents, RAG). Translate these insights into concrete features and tools for the team.

Agent Architecture: Be responsible for the design of scalable frameworks for AI agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.

SW-Focused MLOps: Define and implement the software lifecycle for AI models - from fine-tuning to deployment - utilizing our AI deployment tools and ensuring seamless CI/CD.

Production Deployment: Ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.

We are looking for a 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.
Our goal is to enable breakthrough network performance, using NVIDIA SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.

What you'll be doing:

You will 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.