דרושים » תוכנה » Experienced Full-Stack Engineer

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.

Are you ready to make a significant impact by tackling SW verification challenges? We are seeking an exceptional candidate to work with world-class technologies in the domains of High-Speed Communication and Virtualization for our most advanced markets and customers. Our products encompass Ethernet and InfiniBand protocols, delivering a wide range of cutting-edge networking, storage, and security services for cloud, complex compute, and AI workloads. As a Software Verification Engineer, you will play a crucial role in ensuring on-time and high-quality releases.

What youll be doing:

Take an active part in development, integration, and verification with R&D.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive design verification flows and methodologies improvements.

Perform functional, integration, and regression of software applications and networking protocols.

Work with planning and tracking systems to manage the release progress and build release indicators.

Participate in code reviews, provide feedback, and suggest improvements to enhance the quality and maintainability of the software.

Continuously monitor and evaluate the effectiveness of test processes and methodologies, recommending improvements as necessary.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification and QA.

Make better product quality by improving test coverage.

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.

We are looking for a Senior Software Engineer to join the SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our 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 will be doing:
As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the DOCA SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.

Integrated Circuit Product Engineering (ICPE) plays a key role in bringing our networking products from early development through production. This role focuses on building the testing infrastructure that helps networking products move from early bring-up through production release, with strong emphasis on power and performance.

What youll be doing:

Architect and build a scalable software-based test infrastructure for networking hardware, with emphasis on power and performance coverage across the product lifecycle from bring-up to production release.

Develop autonomous and agentic workflows that orchestrate test execution, system initialization, measurement, monitoring, logging, data collection, and analysis with minimal manual intervention.

Create the software layers around test content, including scheduling, execution control, telemetry pipelines, result handling, and data processing frameworks.

Integrate lab equipment such as power supplies, thermal solutions, and related instrumentation into a unified automation environment.

Enable high-throughput, high-quality engineering workflows by connecting the infrastructure to CI/CD systems, release flows, and quality gates.

Partner closely with hardware, firmware, product engineering, and lab teams to improve coverage, reliability, and observability across complex networking platforms.

Drive software design and engineering best practices for maintainability, scalability, and long-term platform evolution.

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? Our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team in our R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software-from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging.

We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk!

What you'll be doing:

We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we:

Review architectural designs and requirements for new features introduced to the product.

Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases.

Develop Python automation suites built on clean OOP principles.

Chase down defects and validate fixes until we fully resolve the root cause.

Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives.

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 building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them.

Our teams mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI.

As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.


What you'll be doing:

Design, implement, and upstream new capabilities for Kubernetes and CNCF projects.

Collaborate with engineering teams across us to identify AI infrastructure challenges and solve them through upstream innovation.

Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities.

Participate in architecture discussions, API design, technical proposals, and code reviews.

Build reliable, scalable infrastructure software for next-generation AI workloads.

Write clear technical documentation and design proposals.

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

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.