In this role, as Embedded Software Team Leader, you will lead a team owning a key part of our company's NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the company AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.
Responsibilities:
Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.
Own the design, development, and implementation of your component within our company's NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.
Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.
Ensure project timelines and deliverables are met.
Conduct performance reviews and support professional development of team members.
Collaborate globally with architects, HW teams, NPU teams, and other developer teams.

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate our companys AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various companys processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network.
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing our company customers to run most advanced AI networks efficiently on our company NPU software simulation.

In this role, you will design, optimize and develop features in the simulator.
Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams - and by our company customers running the most advanced AI networks on our processors.
The development language is C/C++ (OOP) on Linux and Windows platforms.
Responsibilities:
Design and develop simulation software for our companys NPU and DSP platforms within an agile, top-notch software organization.
Perform in-depth analysis and optimization of simulator performance and accuracy across multiple our company processor architectures.
Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges.
Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers.

As a senior compiler engineer, you will own the design and development of our companys open source based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across all our company hardware targets, and help mentor engineers. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for engineers who champion this approach.
Responsibilities:
Design and develop our companys open source based toolchain targeting custom DSP and NPU architectures.
Drive design and delivery of graph compilation flows: transformations, operator mapping, and code generation.
Champion AI-agentic development practices - integrating AI coding agents into day-to-day engineering workflows.
Own complex components end-to-end, from architecture and design through implementation and delivery.
Provide technical guidance and mentorship to engineers; conduct code reviews.
Collaborate with hardware architecture, algorithms, and software teams globally.
Analyze and optimize toolchain output for performance and correctness across our company processor families.

We are seeking an exceptional and highly experienced Senior System Engineer to join our elite HW R&D team. This role is suited for a seasoned professional (15+ years of experience) in the networking and telecommunications industry, with a proven track record in multi-platform system architecture, hardware/software integration, and deep protocol-level understanding. The ideal candidate will lead and define end-to-end system behavior across multiple layers, ensuring alignment between hardware platforms and software stacks.
You will work closely with internal and external stakeholders to define detailed system specifications, drive platform validation, and ensure our solutions are reliable, efficient, and meet the demanding requirements of service providers.
Key Responsibilities
System Architecture & Design
Own the end-to-end system architecture across various company platforms (routing, switching, timing, and synchronization platforms).
Define and maintain system-level functional specifications and engineering requirements documents (ERDs), covering HW-SW interfaces, thermal, mechanical, power, and performance constraints.
Evaluate and drive platform-level trade-offs (e.g., performance vs. power, scalability vs. complexity).
Collaborate with hardware design, software architecture, thermal, and mechanical teams to ensure cohesive system integration.
CPU selection, boot methodologies, FW upgrades, IC programming, etc.
Technical Leadership
Act as the technical authority on system behavior, network feature interaction, and platform compatibility across various ASIC vendors.
Drive design reviews, providing critical input on system-level implications and interactions.
Detailed Specifications & Documentation
Develop comprehensive and structured documentation: platform requirement specs, interface control documents (ICDs), test coverage matrices, thermal analysis reports, power budgets, and system bring-up guides.
Create and maintain clear, accurate, and implementation-ready specifications to be used by hardware, software, validation, and operations teams.
Thermal, Power & Mechanical Integration
Analyze and approve cooling methods and thermal design requirements (airflow, heat sinks, thermal interface materials, etc.).
Analyze power distribution planning, and integration with PSU/voltage regulator designs.
Work closely with mechanical engineering.

We are seeking a senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms. Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure.

In this role, you will own system-level architecture across multiple technologies and organizational boundaries. You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment.



What Youll Be Doing:

Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration.

Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization.

Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions.

Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more.

Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans.

Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system.

Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production.

Author architecture documents, design specifications, technical requirements, and technical publications.

Provide technical leadership and guidance to engineering teams throughout implementation and integration.

We are looking for a Senior Cloud Infrastructure and DevOps Solutions Architect to join its Infrastructure Specialist Team. Academic and commercial organizations around the world are using our products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!

We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation-serving as both a trusted advisor and a hands-on technical leader.

What Youll Be Doing:

Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).

Provide consultative guidance and perform hands-on troubleshooting across the full stack-from bare metal and operating system, through the software stack, container platform, networking, and storage.

Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.

Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.

Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.

Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.

Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.

We are looking for a passionate and talented SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security, virtualization and orchestration. Our Architecture group consists of world-class architects responsible for designing the next generation state-of-the-art architecture for our DPUs & NICs technologies.

You will play a key role defining the future of cloud solution stack, from HW to Application level, including orchestration, provisioning, network programmability and SDN. You will be working with various teams around the world including SW architects, R&D, product, solution architects and external customers. This position offers a unique and exceptional opportunity to have real impact in a dynamic, technology-focused company shaping the future of data-centers technologies.

What you will be doing:

Lead architecture for cloud-networking including orchestration, provisioning and security solutions.

Design state-of-the-art system architecture for DPUs & NICs technologies.

Build end-to-end solutions from application level to HW.

Responsible for writing effective, clear and reliable architecture specification.

Evaluate new technologies and innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions.

Work closely with different teams around the world including sw & hw architects, R&D, product, solution architects, application and field engineers and more.

Work with high profile customers on advanced and future technologies and solutions.

You will be a key contributor to our companys AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.
The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.
What will you do:
Design and own key components of our companys AI Graph Compiler.
Develop and optimize neural network execution flows and memory management.
Enable complex AI workloads, including LLMs, and implement new NPU features.
Analyze performance bottlenecks and drive system-level optimizations.
Collaborate with compiler and hardware teams on HW-SW solutions.