דרושים » AI » Team Leader AI Datacenter Tools & Automation

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 looking for a Team Lead to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
As a Team Leader, you will drive the architecture, design, and development of critical components of the system. You will lead a team of frontend engineers, define best practices, and ensure the scalability and maintainability of the system
Our group is growing, and you will play a key role in building and expanding the team. You'll have the opportunity to optimize and enhance key parts of our system, leveraging the latest tools and infrastructure to drive innovation and efficiency.
Responsibilities
Lead & mentor a high-performing development team in building advanced, scalable software solutions.
Collaborate closely with development teams to provide seamless integration across applications.
Work closely with QA to implement best practices for testing and automation, ensuring high software quality and reliability.
Coordinate with Product Managers to align development with business priorities and roadmap planning.
Engage with UI/UX Designers to ensure an intuitive and high-quality user experience.
Define and enforce best practices, coding standards, and architectural guidelines for frontend development.
Stay updated with industry trends and emerging technologies to drive innovation in UI infrastructures.
Work with CI/CD pipelines to automate testing, deployment, and monitoring of UI libraries.

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 proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.

Key Responsibilities:

Software Infrastructure Design: Design, build, and maintain scalable infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.

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.

The AI Transformation Architect plays a central role in driving our companys enterprise-wide AI transformation. Reporting to the VP of AI Transformation, this role defines and builds the technical and architectural foundations that power our AI-driven software organization.
The Architect leads the design and implementation of scalable Generative AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives
Accelerate AI Transformation across the SDLC by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

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.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Waze Engineering Productivity (EngProd) team is the multiplier for all of Waze engineering.
In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to our company3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on our company Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and our company's internal tooling to select the right technology for the job.

We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform.
You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions.
This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.