דרושים » תוכנה » Software Engineer - AI Datacenter Networking

As the Team Leader, you will manage and mentor a team of software engineers developing advanced networking components and services in Rust and Python. Youll combine hands-on technical leadership with people management, setting technical direction, reviewing code, driving design discussions, and ensuring the teams delivery aligns with our companys architectural and product vision. This is a highly technical leadership role: you will contribute to design and architecture while cultivating best practices in modern systems programming, asynchronous networking, observability, and performance optimization.
Key Responsibilities
Lead, mentor, and grow a team of software engineers specializing in Rust and Python for AI datacenter networking.
Define technical roadmap, design architecture, and own the teams deliverables.
Lead implementation of networking and distributed-systems components.
Collaborate closely with architects, product management, QA, and platform teams to deliver features supporting large-scale AI network deployments.
Perform technical design reviews and deep-dive debugging; ensure code quality, maintainability, and observability.
Encourage a culture of innovation, continuous learning, and technical excellence.
Manage planning, prioritization, and reporting; communicate progress and risks to leadership.
Recruit, onboard, and mentor engineers to expand the teams capabilities.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams including networking, GPU, and system software to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.

We are seeking a highly skilled and motivated Team Leader to build and lead a new team dedicated to developing orchestration tools and software solutions for AI datacenters.
The main goal of this team is to design and deliver customer-focused orchestration platforms that simplify the deployment, management, and monitoring of large-scale AI workloads.
This role combines technical leadership with hands-on development, covering the entire AI datacenter ecosystem including switches, hosts, smart NICs, GPUs, ROCm, and RCCL. The team will primarily develop in Python, complemented by modern full-stack technologies for user interfaces and control systems.
Key Responsibilities:
Lead and mentor a team of engineers building orchestration tools that manage complex AI datacenter infrastructures.
Define the teams vision, roadmap, and architecture for orchestration solutions that enhance customer experience and operational efficiency.
Design and implement distributed control and orchestration systems using Python and full-stack frameworks.
Collaborate with networking, compute, and AI acceleration teams to integrate orchestration capabilities across all datacenter components (switches, NICs, GPUs, and software stacks).
Work closely with product, QA, and DevOps teams to identify customer requirements and translate them into scalable, production-grade orchestration platforms.
Ensure software reliability, scalability, and maintainability through strong design principles, testing, and CI/CD practices.
Foster a culture of innovation, technical excellence, and cross-functional collaboration.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

We are in search of a Senior Software Architect- a creative, forward-thinking, and practical researcher to improve the framework for widespread LLM learning and prediction. As part of our dynamic E2E Architecture group, you will design and optimize systems driving generative AI workloads, working at the intersection of software and hardware on some of the most advanced GPU clusters worldwide. You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and compute scheduling to system-level optimization. This is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative AI in real-world applications. Your work will make a lasting impact by enabling generative AI technologies to reach real-world applications and improve global computing capabilities.

What Youll Be Doing:

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.

Analyze current deployments, develop prototypes, and recommend architectural improvements.

Stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies.

Design, simulate, and validate new systems using novel, scalable network simulator NSX.

Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).

Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.

Publish patents and present research at leading conferences.

We are looking for a motivated and experienced Senior software engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C ++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent. Key Responsibilities:
* Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
* Analyze and debug complex issues related to operating system internals ( Kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
* Develop networking capabilities and optimize networking stack interactions within software modules.
* Write clean, maintainable, and well-tested C ++ code, while mentoring and reviewing peers contributions.
* Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
* Contribute to CI/CD pipelines and automation workflows to streamline build, TEST, and deployment processes.
* Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
* Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

We are seeking a highly skilled Linux Kernel Engineer to join our innovative and dynamic team. In this role, you will be responsible for the development, optimization, and maintenance of Linux kernel components, device drivers, and system-level services. You will work closely with cross-functional teams to enhance system performance, debug complex kernel-related issues, and contribute to the development of cutting-edge embedded and server-side solutions.

If you are passionate about low-level system development, Linux internals, and making a real impact on the performance and security of modern computing, we want to hear from you!

The position can be based at either Headquarters (Tel-Aviv) or RAD Negev (Beer Sheva).



Responsibilities
Develop, optimize, and maintain Linux kernel modules, device drivers, and system services.
Troubleshoot and debug kernel-level and low-level system issues to improve system stability and performance.
Work with Linux networking, memory management, and process scheduling to enhance system capabilities.
Integrate and customize open-source components into Linux-based environments.
Collaborate with hardware, firmware, and application teams to develop efficient and scalable solutions.
Ensure security, performance, and reliability of kernel and system services.
Conduct code reviews, testing, and debugging to maintain high-quality software development standards.
Stay up to date with the latest developments in the Linux kernel, system services, and embedded technologies.

We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stackfrom applications and software libraries to hardware architecture and physical design.

What You'll Be Doing:

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

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of NVIDIAs data centers and the optimization of NVIDIA networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful NVIDIA solutions
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.