דרושים » הנדסה » Software Group Manager

We are looking for an outstanding Software Manager to join our Interconnect Product Engineering team. In this role, you will play a key role in crafting the future of networking manufacturing solutions for optical transceivers and next-generation networking solutions. As a leading engineering and test solutions group, we develop and deliver brand-new manufacturing test solutions, frameworks, tools, and infrastructure. We ensure the highest quality for every networking system delivered to our customers. We believe that collaboration is essential to innovation. By partnering closely with engineers, hardware and software architects, R&D teams, and external partners, including manufacturing lines, we will drive excellence in software development methodologies. Your leadership will not only improve software quality within the group but will also improve the technical skills of the team. We have assembled a team of outstanding individuals dedicated to pushing technological boundaries and defining the platforms of the future. Join us in promoting innovation at the forefront of networking solutions!

What you'll be doing:

Guide, mentor, and expand your engineering team, ensuring effective planning and execution of projects while maintaining high standards of quality and performance.

Coordinate efforts alongside Product and Program Management, Engineering and Production line teams, and HR to achieve business objectives, improve user experiences, and develop user-friendly production test content.

Coordinate the complete product lifecycle, including composing, development, build, and improvement of networking systems test software.

Define product features and roadmaps, understand product strategy and market positioning, and drive products to successful completion and deployment.

Review architectural builds (electrical, mechanical, process, software) of tested units to identify potential build issues and ensure robust and efficient production, resulting in high-quality products for customers.

Identify and mitigate risks, resolve issues affecting project scope, schedule, and quality, and continuously improve processes and procedures within the team to streamline operations.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on NVIDIA 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, NVIDIA 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 NVIDIA 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.

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.

We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

We are looking for an outstanding Senior Technical instructor to join our Education Services team. In this role, you will provide advanced training on our data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate our-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What youll be doing:

Deliver in-person and remote technical training on our data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.

Lead lab-based training sessions that walk learners through end-to-end workflows on our GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.

Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.

Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.

Act as a technical ambassador for us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.

We are seeking a creative and talented Software Engineer to join our team. In this role, you will be responsible for developing next-generation AI-based tools to revolutionize the efficiency and productivity of our R&D processes.

You will join a team dedicated to solving complex engineering challenges by integrating intelligent solutions into our workflow. You will collaborate with internal AI initiatives, leverage our cutting-edge internal AI infrastructure, and utilize both internal and external models to build the engineering ecosystem of the future. If you are a developer with a strong Computer Science foundation and a deep passion for Generative AI and Large Language Models (LLMs), we encourage you to apply.

What you will be doing:

Design and develop AI-powered software tools and automation aimed at dramatically improving engineering productivity.

Implement advanced AI workflows, such as Retrieval-Augmented Generation (RAG) and intelligent assistants, to solve real-world development problems.

Collaborate with cross-functional teams and internal AI initiatives to identify bottlenecks and translate them into scalable solutions.

Work hands-on with internal and external AI models (LLMs), orchestrating them to deliver high-quality, reliable outputs.

Stay up-to-date with the rapidly evolving landscape of AI to continuously optimize our tools and methodologies.

Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have 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:

Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation.

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.

We are seeking an excellent Software Manager to join to NVOS (our NVLink switch OS) SW group in Yokneam Ilit. You will have the opportunity to lead a development team responsible for the software of the next-generation networking products while being hands-on with development activities. We drive the data growth of the worlds biggest companies. With dedicated engineers around the globe, the work environment is dynamic, exciting, and fast-paced. Are you ready for the challenge?

What you'll be doing:

Lead a team of engineers and provide technical guidance to the team of highly skilled engineers. Empower the team members to excel and increase team productivity.

Lead the design and implementation of new features in the NVOS (our switch OS).

Drive and facilitate the planning, scheduling, and execution of the project and activities of the team.

Collaborate with architecture and different software design teams as part of the software development lifecycle.

Support internal and external customers for any NVOS related items.

Gain a deep understanding of networking technology, system debugging, and stacks, as well as the SW/FW relationship.

Innovate! Bring our Networking products to shine in the customers view

We are looking for a skilled Software Developer with strong hardware knowledge to join our diverse team passionate about developing low-level software and test infrastructure for our networking and Interconnect products. As a technical focal point, you will work at the intersection of hardware and software, taking ownership of driver development, hardware bring-up, and test system architecture. You will be instrumental in driving innovation by developing low-level software that directly controls hardware, debugging sophisticated hardware-software interactions, and creating robust testing solutions. If you're passionate about code development, automation, innovation, reading schematics, debugging hardware with software tools, and becoming a key technical contributor, we'd love to have you on board!


What You'll Be Doing:

Collaborate with multi-functional teams including hardware, electrical, thermal, and mechanical engineers to understand hardware specifications and develop corresponding test requirements.

Take the lead in debugging hardware-software integration issues using instruments, and software tools to pinpoint root causes.

Develop low-level drivers in C/C++ for hardware components and build DLL wrappers for integration with higher-level C# applications.

Review and interpret hardware schematics and datasheets to understand signal flows, timing requirements, and implement appropriate software control mechanisms.

Lead all aspects of hardware bring-up, validation, and deployment of test solutions to production environments, ensuring accurate integration.

We are looking for a skilled Software Developer with strong hardware knowledge to join our diverse team passionate about developing low-level software and test infrastructure for NVIDIA's networking and Interconnect products. As a technical focal point, you will work at the intersection of hardware and software, taking ownership of driver development, hardware bring-up, and test system architecture. You will be instrumental in driving innovation by developing low-level software that directly controls hardware, debugging sophisticated hardware-software interactions, and creating robust testing solutions. If you're passionate about code development, automation, innovation, reading schematics, debugging hardware with software tools, and becoming a key technical contributor, we'd love to have you on board!

What You'll Be Doing:

Collaborate with multi-functional teams including hardware, electrical, thermal, and mechanical engineers to understand hardware specifications and develop corresponding test requirements.

Take the lead in debugging hardware-software integration issues using instruments, and software tools to pinpoint root causes.

Develop low-level drivers in C/C++ for hardware components and build DLL wrappers for integration with higher-level C# applications.

Review and interpret hardware schematics and datasheets to understand signal flows, timing requirements, and implement appropriate software control mechanisms.

Lead all aspects of hardware bring-up, validation, and deployment of test solutions to production environments, ensuring accurate integration.