In this role, as Embedded Software Team Leader, you will lead a team owning a key part of 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 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 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 be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

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.

What you'll be doing:

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

Build and enhance core software components within the DOCA SDK.

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

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

Drive technical decisions and contribute to the design of performant, maintainable software.

As a senior compiler engineer, you will own the design and development of open source based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across all 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 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 processor families.

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

Required Senior Agentic Systems Engineer
Israel - Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So what is the role all about?
The Senior Agentic Systems Engineer is a hands-on engineer who designs, builds, and operates AI-powered tools and workflows for engineering teams.
Were looking for builders who are not only users of AI tools, but can design autonomous agentic systems, optimize model usage, create reusable agents and workflows, and orchestrate complex multi-step work across multiple tools and agents.
Youll be a one-person-army builder: able to understand a problem, define the approach, build the backend, create a simple UI when needed, integrate APIs, connect agents, automate workflows, and deliver working tools quickly.
How will you make an impact?
Build centralized AI-powered tools for engineering teams.
Create and maintain agents, skills, hooks, MCP servers, plugins, and workflow automation.
Design autonomous agentic systems for internal engineering use cases.
Build multi-step AI workflows across code, documentation, Jira, GitHub, CI/CD, and internal systems.
Build tools for PR review support, test generation, documentation updates, spec creation, codebase understanding, and developer productivity.
Learn from local teams and convert successful solutions into reusable centralized assets.
Integrate AI tools with GitHub, Jira, Confluence, CI/CD, internal portals, and engineering systems.
Optimize AI workflows for cost, latency, quality, and reliability.
Apply token economy thinking when designing agents, prompts, MCP usage, RAG flows, and tool integrations.
Contribute to the internal AI marketplace and reusable asset catalog.
Work directly with engineering teams, collect feedback, and iterate quickly.

We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over AI computing processors.

Responsibilities

Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.

Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.

Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.

Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.

Represent with high technical credibility in customer meetings, appropriately incorporating feedback.

Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.

Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.

Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

Required Senior Software Engineer (Cloud/Backend)
The Role:
We are building a brand-new Platform group and have already recruited a strong foundational team. We are now looking for a Lead Technical Anchor to act as a Key Technical Partner to the Principal Architect. You will be one of the main players in the group, acting as the primary driving force to ideate, design, implement, maintain, and monitor a massive multi-tenant SaaS distributed ecosystem and inference platform. This mission-critical platform operates across three tiers:
Cloud (Worldwide SaaS)
On-Premise (Gateways / MSC2)
Edge Device Sensors (SDR / IoT tactical devices)
We need a heavyweight engineer with the battle scars of planning and designing distributed systems from scratch, but who is still "hot on code" and loves being deeply hands-on. We operate with a strict 'You Build It, You Run It' culture.
(Note: While this role is heavily focused on backend architecture and platform infrastructure, we believe in end-to-end ownership. You will occasionally dive into the frontend (React) to deliver complete features).
What You Will Do:
Key Technical Partner: Work in close partnership with the Principal and Software Architect to translate high-level architectural vision into production reality.
Architect Distributed Systems: Lead the design, planning, and implementation of highly complex, high-throughput distributed systems from the ground up, ensuring seamless data ingestion and inference across Edge, On-Prem, and Cloud layers.
Lead by Example in Code: Write extremely sharp, scalable, and maintainable code. You will set the engineering standards for the rest of the team using Node.js, Express, and NestJS.
End-to-End Ownership: Take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. Ensure the high availability and observability of our multi-tenant SaaS environment.
Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry.

Required Senior Software Engineer
Israel - Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
As a Senior Software Engineer, you will be at the heart of building our next‑generation Workforce Management platform - an advanced cloud‑native solution enhanced with intelligent, AI‑powered capabilities.
In this role, you will build full‑stack features, orchestrate AI agents to accelerate engineering workflows, and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Develop end to end cloud features on top of AWS.
Optimizing components for maximum performance.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations.
advise on tech. selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? Our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team in our R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software-from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging.

We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk!

What you'll be doing:

We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we:

Review architectural designs and requirements for new features introduced to the product.

Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases.

Develop Python automation suites built on clean OOP principles.

Chase down defects and validate fixes until we fully resolve the root cause.

Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives.