Our System Product Engineering team is looking for a QA Engineer to join us and help validate the software infrastructure used by multiple teams across the organizations. This role focuses on testing internal tools, backend services, workflows, automation, and the systems that support our validation processes. You will work closely with developers, infra teams, and validation engineers to ensure that our internal software is stable, reliable, and easy to use. You will contribute to building robust test coverage, improving automation, analyzing logs and test results, and driving quality throughout the development cycle.

What youll be doing:

Plan, execute, and analyze functional, integration, and regression tests for internal infrastructure software.

Develop and maintain automated test cases and test flows.

Validate backend services, data pipelines, web tools, and internal workflows.

Investigate failures, collect logs, reproduce issues, and work with developers to identify root causes.

Review and validate new features before release, ensuring they meet quality and usability expectations.

Support CI/CD flows by monitoring automated tests and contributing to improvements.

Document test scenarios, edge cases, and validation coverage.

Provide continuous feedback to developers and infra teams to improve quality and reliability.

We are looking for a skilled Software Developer with strong hardware knowledge to join our team developing production test solutions for optical transceivers and networking products. Our team builds the software and test infrastructure used on production lines to validate our optical and interconnect products. The work combines instrument automation, low-level software development, and direct control of custom hardware. You will work with optical instruments such as power meters, variable optical attenuators, and laser sources, as well as custom test boards used to control and communicate with the device under test (DUT).

This is a hands-on, technically deep role that spans the entire development lifecycle-from hardware bring-up and debugging to validation, deployment, and production support. As a technical focal point, you will work at the intersection of hardware and software, collaborating with electrical, hardware, thermal, mechanical, and software engineers to deliver robust and scalable test solutions across multiple production lines and products.

What Youll Be Doing:

Design and develop production test systems for optical transceivers, networking hardware, and interconnect products.

Develop software that controls optical test instruments, custom test boards, and other hardware components.

Write low-level drivers and hardware-control software in C and C++, and integrate native code with higher-level C# applications through DLL wrappers.

Read and interpret electrical schematics, block diagrams, datasheets, timing requirements, and hardware specifications.

Lead hardware bring-up, validation, and deployment of test solutions in production environments.

Debug complex hardware-software integration issues using oscilloscopes, logic analyzers, software tools, and hardware communication interfaces such as I2C, SPI, and UART.

Investigate failures, identify root causes, and implement reliable corrective solutions.

Collaborate with cross-functional teams to translate hardware requirements into software interfaces and automated test procedures.

Take technical ownership of projects from initial concept and prototype development through production release and ongoing support.

Improve test coverage, system reliability, maintainability, and scalability across multiple products and production lines.

We are excited to welcome a creative and independent Software Engineer for tools, infrastructure, and workflows development for the Integrated Circuit (IC) test and product engineering group in our Networking Business Unit. Our Networking Business Unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another and today we are known as the go-to place for End-to-End High-Speed Ethernet and InfiniBand Solutions.

We're looking to grow our company and build our teams with smart people who can join us at the cutting-edge technology. We are seeking a creative visionary who will thrive in our innovative environment, who will help move Network Silicon ICs products (Switch, NIC, SmartNic) from design to mass production. You will collaborate with test engineers, test house, Design, IT and many other professionals in the organization for the development of tools and test infrastructure for speeding time to market and enabling next generation test capabilities, characterization and data analysis. We foster a collaborative and inclusive culture where your ideas can make an immediate impact. If you are passionate about enabling of the highest quality Network products in the market, we want to hear from you!

What you'll be doing:

Design, develop, and maintain runtime infrastructure libraries for Automatic Test Equipment (ATE) systems.

Enhance test program architecture and infrastructure for next-generation products.

Collaborate with ATE vendors and contract manufacturers to enable new test capabilities.

Work cross-functionally across design, product, and operations teams to improve quality and time-to-market.

We are hiring a Senior Software Engineer to join the NSV tools group. You will craft high-performing software automation systems used in NVIDIA's Data Center environments. This involves our AI cluster topology generation platform that composes, configures, and validates network infrastructure behind large-scale AI clusters. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, along with architects, network engineers, and developers. We support data growth for the worlds biggest companies. Our worldwide engineers work in a dynamic, meaningful, and fast-paced setting. Are you ready for the challenge?

What you'll be doing:

Build and develop a full-stack automation platform (Python microservices backend, modern web frontend) used to generate, configure, and validate network topologies for AI/HPC data centers.

Implement scalable, reliable, and maintainable services and APIs that turn complex infrastructure requirements into validated, exportable network configurations.

Build and refine intuitive web interfaces that guide users through an interactive, step-by-step topology development workflow.

Collaborate closely with internal and external collaborators to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the generation pipeline through architectural improvements and code optimizations.

Troubleshoot issues in distributed, containerized environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases.

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

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.

What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence our future networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.

We are looking for an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of our datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments.

What Youll Be Doing:

Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.

Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.

Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.

Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.

Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.

Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.

Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.

Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.

We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of our networking products, SmartNICs, and DPUs. In this role, you will work closely with system architects, software/firmware engineers, hardware designers and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.

You will join a team working at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. Our mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.

What Youll Be Doing:

Work with architects and engineers to define software architecture for our networking devices, SmartNICs, and DPUs.

Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.

Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.

Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.

Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.

What you'll be doing:

Design and build the core platform that powers an autonomous AI agent - including its reasoning engine, tool orchestration, and the runtime infrastructure it operates on.

Develop and evolve the Micro-services ecosystem that gives the agent its capabilities - from knowledge retrieval and log analysis to code execution and workflow automation.

Own features end-to-end: from requirements analysis and architecture, through implementation, to production deployment and iteration based on real usage.

Instrument, evaluate, and improve the platform's reliability - build observability, track quality, and feed signals back into the system to make the agent more effective over time.

Collaborate with engineering teams across the organization to identify high-impact workflows and translate them into AI-assisted automation that boosts developer productivity.

Work across the stack when the problem requires it - Python services, Kubernetes infrastructure, data stores, CI/CD pipelines, and developer-facing tools.

We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components within the DOCA SDK.

Work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.

Collaborate across the software stack, including applications, virtualization, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and contribute to the design of performant, maintainable software.