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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