תיאור המשרה
Description About Ceva SDT Ceva's Software Development Tools group builds compilers, tools, and embedded software for AI, Vision, Mobile Broadband, and NB-IoT processors. We work across the full stack — from LLVM-based toolchains to MLIR graph compilers — enabling customers to get the best out of Ceva silicon. The Role Lead a team of compiler engineers responsible for Ceva'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 Ceva 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 Ceva'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. Why Ceva SDT? Work on toolchain technology deployed in millions of AI devices worldwide. Join a technically driven team at the forefront of AI-agentic development, where your work directly shapes how software runs on silicon. Requirements B.Sc. in Computer Science, Electrical Engineering, or related field. 2+ years of experience leading software development teams. 3+ years of hands-on experience in software development. Strong C++ skills; Python proficiency is a plus. Solid software engineering fundamentals. Strong communication skills; comfortable in a global, multi-site environment. Advantages Hands-on experience with AI-agentic development — using AI coding agents (e.g. GitHub Copilot, Cursor, Claude Code) to drive and accelerate software development. Hands-on experience with LLVM/Clang — backend, instruction selection, register allocation, or code generation. Familiarity with MLIR — dialects, passes, or graph-level compiler development. Knowledge of AI/ML frameworks and neural network execution. Experience with embedded systems, DSP or NPU architectures. M.Sc. or higher in a relevant field.
על Ceva
Ceva powers the Smart Edge, bridging the digital and physical worlds to bring AI-driven products to life.
Our Ceva AI fabric portfolio of silicon and software IP enables devices to Connect, Sense, and Infer – the essential capabilities for the intelligent edge. From 5G, cellular IoT, Bluetooth, Wi-Fi, and UWB connectivity to scalable Edge
AI NPUs, AI DSPs, sensor fusion processors and embedded software, Ceva provides the foundational IP for devices that connect, understand their environment, and act in real time.
With more than 20 billion devices shipped and trusted by 400+ customers worldwide, Ceva is the backbone of today’s most advanced smart edge products – from AI-infused wearables and IoT devices to autonomous vehicles and 5G infrastructure. Our differentiated solutions deliver seamless integration into existing design flows, total flexibility to combine solutions based on design needs and ultra–low–power performance in minimal silicon footprint, helping customers accelerate development, reduce risk, and bring innovative products to market faster. As technology evolves toward Physical AI, Ceva’s IP portfolio lays the foundation for systems that are always connected, contextually aware, and capable of intelligent, real-time decision-making.