דרושים » הנדסה » Senior Software and DevOps Engineer, DOCA Verification

As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on NVIDIA rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on our next-generation systems.

What youll be doing:

Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.

Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.

Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.

Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.

Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.

Support bring-up, validation, and readiness activities for new rack-scale platforms and AI infrastructure.

Create clear documentation, test flows, and repeatable processes to improve coverage, efficiency, and reproducibility.

We are looking for a Software Engineer to join NSV tools (Network Solutions Validation) group. As a team member, you will be part of a development effort of high-performing software automation systems for our Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. 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:
Design and develop an automation platform used to provision, configure, and monitor HPC data centers.
Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
Work cross-functionally with architects, DevOps engineers, product managers and stakeholders 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 future NVIDIA networking and AI infrastructure roadmaps.

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

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

We are transforming the world of networking for massively scaled AI factories through Spectrum-X: Our Ethernet Networking solution. We need automation engineers with strong coding skills to join our Spectrum-X team and create the products that will drive the next phase of AI growth. Aa a Software Engineer you will ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. Do you want to help create the most exciting solutions in the world of networking today? If so, read on.

What you'll be doing:

Participating in an international team of software engineers working on products for testing our ethernet networking products.

Designing and implementing robust, maintainable, and efficient automation test suites for end-to-end testing of AI ethernet networks.

Engaging directly with our customers to ensure we are aligned on their networking requirements and solve their problems.

Debugging and diagnosing complex networking problems.

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 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.

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

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 a highly motivated Software Engineer with expertise in embedded software development to join our Data Processing Unit (DPU) Software Group. We are looking for a candidate with the ability to thrive in an environment with sophisticated software and hardware designs, take ownership and lead the SW development of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Design and develop high performance networking solutions based on our outstanding Bluefield networking cards hardware

Engage closely with customers and partners.

Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.

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

Write fast, effective, maintainable, reliable and well documented code.

Innovate! Bring our DPU products to shine in customer's view.