Senior Compiler Engineer

About the AI Division: The AI Division is a unique and dedicated group within Ceva, driving innovation in Machine Learning and Generative AI architectures for edge devices and cloud inference. Our R&D domains span Neural Network Processors (NPU), Vision DSPs, and advanced AI algorithms for applications across smartphones, tablets, automotive, surveillance cameras and many more edge AI systems. We combine cutting-edge hardware IP design with embedded software and system-level solutions, enabling the next generation of intelligent and energy-efficient devices. About the Role: As a senior compiler engineer, you will own the design and development of Ceva’s open source based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across all Ceva 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 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 — 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 Ceva processor families.

Requirements: • B.Sc. in Computer Science, Electrical Engineering, or related field. • 5+ years of hands-on experience in software development. • Strong C++ skills; Python proficiency is a plus. • Proven ability to own and deliver complex software components independently. • 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.