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We are looking for an Infrastructure Team Leader to lead and manage a highly skilled team of 4-5 engineers, responsible for Emulation, CAD, DevOps, compute infrastructure, and automation.
This role combines 50% hands‑on and 50% manageiral technical leadership and end‑to‑end ownership of infrastructure, tooling, and release flows.
The position has a significant impact on productivity, quality, and time‑to‑market of the companys silicon products and is reporting directly to the director of the department.
Responsibilities
Lead and mentor the Infrastructure team, including CAD, DevOps, automation, and emulation activities.
Own the definition, development, and maintenance of infrastructure: Emulation, design flows, verification flows, releases, automation, TFS Azure DevOps and CI/CD pipelines.
Drive continuous improvement of infrastructure reliability, performance, scalability, and usability.
Take end‑to‑end responsibility, cross BU, cross site VLSI releases, environments, and production readiness.
Collaborate closely with different stakeholders in the HW and SW RnD teams to align infrastructure with project needs.

we are at the forefront of AI inference and signal processing, powering some of the world's most advanced edge devices with our NPU, Connectivity, Wireless, and Sensing IP platforms. As part of our Customer Solutions Group, you'll join a senior team of technical experts who are the bridge between our company's engineering depth and the real-world needs of customers and partners worldwide.
This is a customer-facing role focused on our company's AI Division, spanning the full customer lifecycle, from pre-sales technical evaluation through post-sales integration. The role combines technical account management with disciplined operational follow-through on behalf of assigned customers.
You'll engage in complex, deeply technical conversations that require strong engineering understanding paired with the communication skills and gravitas to represent our company credibly to customers.
What you'll do
Act as the senior technical point of contact for assigned customers, representing our company credibly and in depth on our AI Division's product status, roadmap, and forward plans, including presenting technical material and traveling on-site as needed.
Own the operational flow of customer communications, triaging incoming requests, routing them to the right internal stakeholders, and driving each item to closure.
Proactively track all open commitments and milestones on behalf of assigned accounts, ensuring nothing slips and that customers receive timely, accurate status updates.
Support pre-sales technical engagements - demonstrating product value, evaluating customer use cases, and contributing to proof-of-concept efforts.
Guide customers through post-sales integration, helping them get the most out of our company's tools and software stack.
Maintain and grow the organization's knowledge base of customer environments, technical challenges, and solved cases.

In this role, you will learn and deeply understand the AI fundamentals and create tools and software that transform AI network into embedded implementation on our companys processors. In addition, you will perform in-depth analysis and optimization to the generated software and tools, to ensure the best performance and accuracy on various our company s processors architectures.
Responsibilities:
Taking part of innovative, agile, top-notch SW team, designing Neural Network Processor (NPU) graph compiler and software in close collaboration with the architecture, algorithms, system and hardware teams.
In addition You will take part in designing and developing software code for graph compiler for neural network processing and embedded system resources management.

We are seeking an experienced and commercially driven Director of Licensing to lead the licensing strategy and execution for our semiconductor intellectual property (IP) portfolio. This role is responsible for efficiently driving complex product and commercial contract negotiations with semiconductor manufacturers, fabless companies, and system integrators.
The ideal candidate combines proven experience in IP licensing (commercial and legal), technology commercialization, complex negotiation and business acumen, strategic deal making skills, with knowledge of the semiconductor industry being a plus.
Key Responsibilities
Portfolio Monetization & Licensing Strategy
Work closely with leadership in Product Divisions, Sales , Finance and Legal to develop strategies to maximize revenue from the companys IP portfolio.
Evaluate opportunities for licensing expansion, renewals, and new use cases.
Support IP valuation, competitive analysis, and market positioning.
Define optimal licensing models and pricing models that support and drive sustainable and profitable growth
Deal Structuring & Negotiation & Enforcement
Work closely with leadership in Product Divisions, Sales, Finance and Legal to develop and maintain commercial proposal templates and license agreement templates that increase and streamline deal process efficiencies and align with business objectives.
Support the Sales team globally throughout complex commercial and legal negotiations, from proposal to deal closing stages and manage contract lifecycle thereafter.
Coordinate with Sales, Finance and Legal teams on reporting, compliance, and enforcement of contract terms.

Lead a team of compiler engineers responsible for our company's open source based toolchain and graph compiler. You will be a hands-on team leader - driving architecture decisions, guiding engineers, and delivering compiler capabilities across all our company hardware targets. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for a leader who champions this approach.
Responsibilities
Lead development of our company's 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 within the team - integrating AI coding agents into day-to-day engineering workflows. Mentor engineers and conduct code reviews; build a high-quality engineering culture. Collaborate with hardware architecture, algorithms, and software teams globally. Own team planning, prioritization, and on-time delivery of toolchain features. Contribute hands-on to design, implementation, and performance tuning in C++ and Python.

As a CAD Engineering Student, you will join an experienced CAD, DevOps, and Emulation team, working on cutting-edge VLSI infrastructure. You will support automation, release processes, and emulation flows while gaining hands-on exposure to full chip development environments.
Responsibilities:
Support VLSI infrastructure, automation flows, and release processes.
Assist in developing and maintaining CAD/DevOps scripts and tools
Participate in emulation activities and environment setup
Collaborate with design and verification teams to improve engineering efficiency.

As a Graph Compiler Software Manager, you will lead the development of our companys next-generation graph compiler technology. This compiler is a cornerstone of our companys AI software offering, empowering customers to optimize, map, and execute complex neural networks across our company architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

In this role, as Embedded Software Team Leader, you will lead a software team taking major part in developing our company's AI framework. This framework is at the heart of the companyAI 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. 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.
Key Responsibilities:
Lead and manage the Embedded Software engineering team, ensuring high performance and productivity. Oversee the design, development, and implementation. 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.

Lead the development of our company Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for our companys latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of our companys sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing our company Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

In this role, you will be a key contributor to the design and implementation of our companys Edge AI 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 our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
What will you do:
Own and design key components of the Edge AI 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.

As the R&D Technical Project Manager you will lead large-scale, multidisciplinary programs developing Neural Network Processor (NPU) and AI IP products.
You will lead cross-functional engineering teams (30+ engineers) across architecture, algorithms, VLSI, embedded software, SW tools, and systems, ensuring seamless execution from Product Requirements Document (PRD) to production-ready delivery for leading SoC makers and OEM customers.
You will also act as the primary interface between customers, product team , and internal R&D teams , balancing technical leadership, strategic execution, and organizational excellence in a global, multi-site environment.
Responsibilities
Be accountable for successful planning and delivery, in quality, on time under budget, of all R&D programs & products in the AI Division, covering architecture, algorithms, hardware IP, embedded software, SW tools, and integration tasks.
Accountable for the definition and deployment of the AI Division Program development processes.
Program Planning and Execution
Own end-to-end planning and delivery for complex AI processor IP programs that include hardware design, embedded SW, and SW development tools.
Build and manage integrated schedules across RTL, verification, firmware, drivers, toolchain, and documentation.
Drive execution across concepts, design, verification, bring-up, and customer release phases.
Manage program POR, program priorities, and change control process.
Track dependencies between IP architecture, firmware readiness, SDK/toolchain availability, and customer enablement deliverables.
Define and manage program KPIs: schedule, quality metrics, and customer satisfaction.
Cross-Functional Leadership
Lead multi-disciplinary engineering teams: HW design, verification, modeling, firmware, SDK/toolchain, and system validation.
Collaborate closely with product management, system architects, and customer engineering to align technical priorities and milestones.
Coordinate with silicon partners and customers to support IP integration and bring-up.
Lead multi-site coordination, fostering collaboration among teams located across various global R&D centers.
Cultivate a high-performing R&D culture emphasizing technical innovation, accountability, and cross-functional synergy.
Software and Toolchain Integration
Ensure alignment between hardware deliverables and the corresponding software development environment.
Oversee development and release of software tools such as SDKs, compilers, profilers, debuggers, simulators, and evaluation platforms.
Manage embedded firmware releases, drivers, Graph compiler, etc.
Risk and Quality Management
Identify technical and schedule risks early, drive mitigation and contingency plans.
Ensure design readiness and quality reviews across hardware, software, and tools.
Ensure proper configuration management and version control across IP and SW components.
Ensure quality documentation.
Communication & clarity and Stakeholder Management
Act as the central communication hub across engineering, marketing, operations, and customers.
Provide regular executive-level status reports with clear visibility into risks, dependencies, and critical paths.
Program management processes
Oversee the related PMO activities to ensure definition, deployment, and continuous improvement of program management processes across the organization.

In this role, you will be managing the MBBU projects involving multiple domains including: VLSI architecture, VLSI Design, VLSI verification, VLSI backend, Algorithms and Software. These projects include development of products like cellular modems, Communication Digital Signal Processors and Radar/Lidar baseband with a total of up to 100 R&D engineers involved.
This role is reporting to the MBBU General Manager.
Responsibilities
Full ownership on all R&D projects of the Mobile Business Unit, including Software, VLSI and Algorithms tasks.
Direct management for the PMO.

We are seeking a highly skilled and motivated VLSI Backend Team Leader to join and lead our dynamic team.
As part of this position, you will lead a team of experienced engineers working on parallel projects, and play a crucial role in the design and implementation of complex designs, flow development, and the latest technology node bring-up and integration.
The Backend team leader will be required to do 50% hands on work and 50% managerial work.

Join our company's software tools team and contribute to widely used open source based toolchains while building tools that run on real hardware across millions of devices. Our team embraces an AI-agentic development flow - using AI coding agents as part of everyday engineering - and we want engineers who are excited to work this way from day one.
Responsibilities
Contribute to our company's open source based toolchain targeting custom DSP and NPU architectures.
Analyze and optimize toolchain output for performance and correctness across our company processor families.
Apply AI-agentic development practices in day-to-day work - using AI coding agents to accelerate development.
Collaborate with architecture, hardware, and software teams.

We are seeking a highly skilled and motivated Senior Director of Software Development Tools to lead a team of approximately 50 engineers delivering high‑performance development tools for advanced AI and Wireless platforms. In this role, you will provide strong technical and organizational leadership, guide the team through complex engineering challenges, and build an efficient organization that enables fast, reliable delivery of production‑quality tools.
You will work closely with business units and customers to understand their needs and constraints, support ongoing development efforts, and help drive the evolution of innovative tooling solutions. Our development tools increasingly incorporate AI‑Agentic workflows, where software agents contribute to analysis, optimization, and coordination across the development lifecycle, while operating within structured and well‑governed systems.
Key Responsibilities
Leadership & Execution
Lead and manage a multidisciplinary organization of ~50 engineers delivering mission‑critical development tools.
Provide clear direction and guidance to ensure high engineering standards, effective problem‑solving, and on‑time delivery.
Establish and continuously improve organizational structures, development processes, and execution practices to support efficiency and scalability.
AI‑Agentic Development Tooling
Guide the development of tools that incorporate AI‑Agentic flows, where agents support and orchestrate parts of the development process such as compilation, debugging, simulation, and analysis.
Ensure agent‑based capabilities are designed with clear boundaries, traceability, and validation, suitable for enterprise and production environments.
Balance innovation with stability, ensuring AI‑driven components integrate smoothly into established toolchains and workflows.
High‑Performance Toolchains
Oversee the development of compilers, debuggers, simulators, and related tooling optimized for performance and accuracy.
Ensure tools enable fast and reliable modeling of complex AI accelerators and wireless systems.
Maintain focus on production requirements, including correctness, determinism, scalability, and long‑term maintainability.
Business & Customer Collaboration
Collaborate closely with business units, platform teams, and customers to understand tooling needs and priorities.
Translate requirements into clear technical roadmaps and execution plans.
Serve as a senior technical partner, ensuring alignment between engineering delivery and business objectives.
Team Development & Culture
Build, mentor, and retain a strong engineering leadership team.
Encourage collaboration, knowledge sharing, and professional growth across the organization.
Foster a culture that values engineering rigor, accountability, and continuous improvement.