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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.

In this role, as Senior Team Leader of the AI NPU Simulator, you will lead a Group developing a major part of AI simulation framework, in the core of our AI software offering. The AI NPU simulator enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company.

You will drive the development of robust, scalable, and efficient simulation software, working closely with global Architecture, VLSI, and Software teams to shape next generation of AI solutions.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading software teams, and a track record of delivering complex, state-of-the-art products on time and with high quality. The ideal candidate is execution-driven, innovative, and passionate about building high-performing teams and cutting-edge AI technology.



Responsibilities

Manage and lead two teams (Development + Validation) .

Be accountable for the simulation lifecycle, including architecture, development, validation, and release.

Lead development of advanced simulation models for AI processors.

Own delivery of complex, multi-release roadmaps.

Ensure strong alignment between hardware design, compiler behavior, and simulation models.

Drive system-level correctness and performance accuracy.

Support system bring-up, debugging, and customer-facing activities when needed

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate 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 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 customers to run most advanced AI networks efficiently on NPU software simulation.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading VLSI Front-End Design engineers, and a track record of delivering complex, state-of-the-art products on time and in production ready quality.

The ideal candidate is execution-driven, innovative, and passionate about building high-performing team and cutting-edge AI technology.

Responsibilities

Manage and lead a team of Front-End Design engineers.

Be accountable for the teams development lifecycle, including architecture, development, validation, and release, focusing on meeting PPAA targets.

Lead development of advanced VLSI IPs for AI processors, DSP and HW accelerators while continuing pushing the VLSI design methodologies, procedures, sign off and AI tools assimilation to its next level.

Support system bring-up, debugging, and customer-facing activities when needed

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.

We are looking for a software student that will take part in our software projects and practical research activities.

You will have the opportunity to learn and gain experience related to many aspects of software and hardware. In addition, we encourage you to have your final academic project done here.

responsibilities:

Maintaining, updating and debugging existing software tools, primarily in Python. This part is around 70% of the expected activity.

Taking part in architectural research and development. Including: developing test cases, executing and presenting results.

Modeling, running, and analyzing AI neural networks to evaluate their behavior and performance on Cevas DSP processors and AI accelerators.



We are looking for a CAD/Emulation Graduate Engineer to join our infrastructure team. This position is designed as an entry-level role for a recent graduate, providing hands-on experience with advanced VLSI CAD/Emulation and infrastructure



Key Responsibilities

Develop and maintain automation scripts for front-end Emulation and VLSI CAD flows and automation.

Support execution and releases of VLSI artifacts while marinating advanced CAD flows.

Assist in improving infrastructure efficiency and tool integration.

Work with version control systems and CI/CD pipelines for regression and build environments.

Own and rule top notch emulation methodologies and procedures.

The System team defines and develops cutting-edge 5G technology. In this role, you will lead the system team responsible for defining our next-generation modem products and developing modem algorithms, working at the intersection of research, system design, and implementation.

Responsibilities

Lead a team of senior system and algorithm engineers responsible for developing innovative 5G modems.

Partner closely with VLSI and SW teams implementing the modem HW and SW and align on system definitions with implementation constraints.

Develop and maintain deep expertise in cellular standards and their implications for modem design.

Lead system and algorithmic research, balancing trade-offs between DSP/SW/HW implementations, performance, implementation cost, real-time constraints, and time-to-market.

Own system definitions, requirements, and implementation from initial research through simulation to official release, including MATLAB/C/C++/SystemC modeling and specification documentation.

Mentor and grow team members, fostering technical excellence and professional development.

Lead a team of compiler engineers responsible for 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 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 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 part of our Sales Operations group, you'll join a team that keeps commercial and customer-facing engine running, owning the CRM platform that connects Sales, Legal, Finance, R&D, and our global customer base. This is a hands-on administration role centered on Salesforce implementation which serves as the backbone of our sales pipeline, customer support chain, deliverables distribution, licensing, and customer community portal. You'll work closely with Sales managers and cross-functional teams to maintain, troubleshoot, and incrementally extend a system that directly impacts customer experience and revenue recognition.

Responsibilities:

Administer and maintain Salesforce implementation and CRM related systems.

Own the deployment and adoption of AI tools across the Sales organization.

Own CRM enhancements - end to end solution design, from gathering and understanding the requirements, through writing a detailed design, and all the way to implementation.

Support and monitor integrations between Salesforce and external systems, including Azure DevOps (TFS), Azure Blob Storage, Power Automate, Power Apps, Power BI, and custom external applications interacting with Salesforce.

Respond to internal user requests and act as first-line support for Salesforce-related questions from the Sales, technical support, Marketing, Legal, and Finance teams.

Lead the development of 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 latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of sensing and AI platform.

Key Responsibilities:

Lead and mentor a team of software engineers developing 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, 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

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.

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.