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We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

We are looking for a Senior Design System Developer to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures. As a Senior Design System Developer, you will be part of the core leadership team responsible for designing, developing, and maintaining our reusable component library. You will collaborate closely with designers, architects, and engineers across multiple teams to create a robust, well-documented, and future-proof system. This is a hands-on, highly technical role that blends deep frontend expertise with cross-functional collaboration, architectural decision-making, and a passion for building high-quality UI foundations. 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. We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Key Responsibilities
Contribute as part of the core leadership group for our new Design System initiative.
Design, develop, and maintain reusable, scalable, and accessible UI components.
Collaborate with designers to translate design specifications into high-quality code.
Shape architectural decisions to ensure performance, maintainability, and scalability.
Challenge and improve existing UI/UX patterns to enhance usability and developer experience.
Document and showcase components using Storybook (or similar tools).
Implement and maintain testing strategies for components (unit, integration, and end-to-end).
Ensure accessibility compliance (WCAG/ARIA) in all components.
Partner with multiple teams to promote adoption of the Design System across the company.
Participate in code reviews, debugging, and architecture discussions to maintain technical excellence.

We are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.
Key Responsibilities
Define and execute regression, functional, performance, and scale test suites for network infrastructure
Investigate complex performance and scaling bottlenecks in AI datacenters
Design and build customer-scale testbeds emulating diverse network architectures
Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
Support POC efforts, innovation initiatives, and customer use-case reproductions
Generate comprehensive test reports highlighting results, insights, and recommendations
Validate network protocols and hardware-software interactions in AI workloads.

We are looking for a Senior Frontend Developer to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
As a Senior Frontend Developer, you will play a critical role in designing, developing, and maintaining frontend infrastructure that supports multiple teams and projects across the company. You will work closely with cross-functional teams to understand their needs, build scalable components, and contribute to architectural decisions that impact the long-term success of the platform.
We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

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 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.

Were looking for a talented Software Engineer to join our CI team, a dedicated software engineering team within the DevOps group. Our team designs, builds, and maintains the systems that power our continuous integration (CI) environment including developing AI-driven agents to enhance and optimize CI workflows.
The ideal candidate has a strong software engineering background and an interest in building tools, systems, and services that support large-scale development environments.

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 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 an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).