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We are seeking a talented and motivated Infrastructure Engineer to join our growing team. As an Infrastructure Engineer, you will be responsible for designing, developing, and maintaining tools and infrastructure that enable efficient and secure development and deployment processes. You will work closely with cross-functional teams to understand their requirements and design solutions that meet their needs.
Responsibilities
Design, develop, and maintain tools and infrastructure that enforce platform standards, ensuring high-quality standards are maintained across the organization
Collaborate closely with cross-functional teams to understand their requirements, provide technical guidance, and ensure successful implementation
Architect and build scalable, reliable, and secure infrastructure solutions that support the company's R&D and DevOps teams
Ensure adherence to security and governance policies to protect company data and systems, ensuring compliance with relevant regulations
Troubleshoot and resolve infrastructure-related issues in a timely manner to minimize downtime and optimize performance
Stay up-to-date with industry trends and emerging technologies in Infrastructure/Platform Engineering and leverage this knowledge to drive innovation and improve processes.

We are seeking a Senior Customer Program Manager - AI Datacenter to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What Youll Be Doing:

Define and manage program schedules, deliverables, and turning points aligned with customers and partners roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for field quality issues or high priority concerns with major enterprise customers, cloud service providers.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets with major enterprise customers, cloud service providers.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

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 Full-Stack Software Engineer to join our team!

Were looking for a Full-Stack Staff Engineer with a strong frontend orientation to drive technical excellence across AP Platform group. Youll take ownership of complex, high-impact infrastructure initiatives-elevating frontend and backend quality, improving performance and reliability, shaping our engineering standards, and enabling 3 teams to move faster with cleaner, scalable, partner-agnostic solutions.

we are looking for an exceptional Software Architect to join our R&D department. We are looking for an experienced professional with superb interpersonal skills, a software engineering technical leadership background and production experience building SaaS products at scale.
As a Software Architect you will take a significant part in designing and reviewing our architecture decisions, serve as a technical consultant and see the large picture of technology stack and its architecture. This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellency.

Were looking for an impact-driven, experienced Head Of DevOps

As a Head of DevOps, you will be leading a team of experienced DevOps engineers in a serverless environment. This is a unique position where the DevOps focus mostly on tools and automations to help the software engineers take control of their code from their IDE to production by themselves.

Our DevOps work is mostly on Platform Engineering tools, and our goal is to make almost all day-day DevOps requests a self-serve actions, to keep everything smooth and safe by automating it all

This position requires an experienced team leader that achieved success in their previous roles as a Leading DevOps manager, that wants to add a deeper challenge, focusing on the cool stuff only

We are looking for an experienced Director of Engineering to lead a high-performing engineering team responsible for building and evolving our container security platform. This role combines people leadership, strong technical ownership, and close collaboration with product and cross-functional partners. Its an opportunity to lead with clarity and impact during a meaningful phase of the companys evolution.
What youll do:
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Take end-to-end ownership of products and components - from design through production and long-term maintenance.
Drive the development of scalable, cloud-native microservices in a large-scale production environment.
Set technical direction through architecture discussions, design reviews, and code reviews.
Collaborate closely with Product, Security, and other teams to align engineering execution with business and product goals.
Lead Agile planning and execution, ensuring predictable delivery and continuous improvement.
Improve system performance, scalability, reliability, and testability across the stack.
Shape the teams roadmap and contribute to long-term engineering and technology strategy.

As a data scientist you will work directly with engineers, sales, product and clients in order to translate business requirements to production level prediction models and algorithms.

What Youll do

Research and find creative solutions to a unique set of problems
Develop and maintain machine learning models and optimization algorithms from research to production
Develop data infrastructure and pipelines
Collaborate with engineers, sales, product and clients

We are looking for a highly motivated and experienced Go/C++ Engineer to join this team and take ownership of critical components of our endpoint security platform. This is an opportunity to have maximum technical impact while working alongside some of the most experienced engineers in the field.
What youll do:
Take end-to-end ownership of projects, from requirements through production deployment and support.
Evaluate technologies, run PoCs, and drive evolution of the tech stack.
Collaborate across R&D teams to ensure integration and alignment.
Own and maintain services in multiple production environments.
Apply best practices for design, code quality, and testing.
Mentor, guide, and support team members in solving complex software challenges.
Understand product vision, short- and long-term goals, and backlog to ensure smooth execution.
Identify dependencies and coordinate with external teams and stakeholders.
Promote a collaborative environment that encourages creativity, ownership, and innovation.

Join the AI & Automation Supply Chain Business Transformations team in our Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the senior systems architect in Operations, you implement our vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, integration, security, and lifecycle management, ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the worlds most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.

What you will be doing:

Capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop hypercare support model

Define and architect AI agents for Supply Chain use cases, using the right frameworks, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.

Be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions

Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and our own NeMo technologies.

Ensure integration with enterprise IT and Operations data sources and Industrys best Agentic platforms with strong content security focus.

Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.

Lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.

Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.

Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen our ecosystem.

We are searching for a strong technical leader to own the backbone of our Networking Research capabilities. We are looking for an Engineering Manager to lead the development of our high-fidelity Network Simulation platform and the extensive on-premise infrastructure that powers it.

In this role, you will lead a team of performance simulation software engineers and DevOps/Infrastructure specialists. You will own the "Simulation-as-a-Service" product-a critical platform used by internal researchers to model next-generation data center architectures. Your mission is to ensure our simulations are accurate, performant, and accessible, while managing the large-scale compute clusters required to run them.

What you'll be doing:

Team Leadership: Manage and mentor a team of C++ software engineers and DevOps infrastructure engineers, fostering a culture of performance, reliability, and code quality.

Product Ownership (Sim-as-a-Service): Treat the internal simulation platform as a product. Work with research partners to define the roadmap, prioritize features, and ensure high availability for users.

High-Performance Simulation: Be responsible for the architecture and optimization of complex network simulation engines (C++ based), ensuring they can scale to model extensive data center topologies with high fidelity.

Infrastructure Management: Own the lifecycle of our on-premise compute clusters and servers. Drive decisions on hardware upgrades, prioritisation, and managing system resources.

DevOps & Automation: Lead the strategy for CI/CD pipelines, automated testing, and containerized deployments to ensure rapid iteration and stability of the simulation platform.

multi-functional Collaboration: Partner with the AI Agents team to expose simulation APIs, enabling agents to run experiments and gather data autonomously.

We are looking for an excellent Software Engineer to join the NSV tools (Network Solutions Validation) group. As the team member, you will be part of a major development effort of high-performing software automation systems for our Data Center environments. 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:

Designing and developing an automation platform used to provision, configure, and monitor HPC data centers

Implementing scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency

Collaborating closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions

Improving stability and performance across the provisioning pipeline through architectural enhancements and code optimizations

Troubleshooting issues in distributed environments and contributing to system observability and reliability improvements

Working cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases

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

We are looking for an experienced engineer to join our SW/FW testing team. This position will be part of QA group, which enables our products meet the industry leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of industry-leading features, be able to learn new features, execute manual and automated tests, and participate in automation development.


What you'll be doing:

Review arch design and requirements documents for new features introduced in different domains

Design, develop and implement tests for the new features, as part of SW/FW update releases

Automate newly added tests in the existing automation framework, add new capabilities and features to the framework

Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed

Perform tests in different scopes: regression, performance, functional, security; report progress of testing and provide summary reports of testing activity

Our Networking Research group is seeking a forward-thinking Engineering Manager with a product leadership approach to manage a team of Software Engineers, AI Agent Developers, and Researchers.

In this role, you will bridge the gap between brand-new AI research and practical engineering. You will lead the charge in integrating autonomous AI agents into the daily workflows of our architects, hardware designers, and researchers. You will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using our AI stack.

What you'll be doing:

Team Leadership & Strategy: Lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.

Product Engineering: Partner with internal engineering teams (Hardware, Architecture, Research) to analyze their workflows, identify friction points, and architect Agentic AI solutions to accelerate their work.

Applied Research: Actively monitor the latest AI trends, academic papers, and technical blogs (LLMs, Agents, RAG). Translate these insights into concrete features and tools for the team.

Agent Architecture: Be responsible for the design of scalable frameworks for AI agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.

SW-Focused MLOps: Define and implement the software lifecycle for AI models - from fine-tuning to deployment - utilizing our AI deployment tools and ensuring seamless CI/CD.

Production Deployment: Ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.