As a AI Compiler Engineer on the Renesas HPC team, you will work on compiler and code-generation technologies that enable AI workloads to run efficiently on next-generation automotive System-on-Chip (SoC) platforms. You will contribute to software that translates AI models into optimized execution for advanced automotive hardware used in software-defined vehicles (SDVs). This role is ideal for candidates who are passionate about compilers, systems software, and AI acceleration, and who want hands-on experience working at the intersection of software and hardware in a real-world, safety-critical domain. You will work closely with experienced compiler engineers, hardware architects, and AI specialists, learning how production-grade AI compilers are built and optimized for automotive use cases. What You'll Do • Contribute to AI compiler development, including model ingestion, graph transformations, and code generation under the guidance of senior engineers • Implement and test compiler optimizations such as operator fusion, scheduling improvements, and memory optimizations • Assist in performance analysis and benchmarking of AI workloads on simulators and silicon platforms • Work with senior team members to debug correctness and performance issues in compiler pipelines • Collaborate with cross-functional teams (SoC architecture, AI software, systems) to understand hardware constraints and software requirements • Write clean, well-tested code and documentation following engineering best practices • Learn automotive software requirements such as determinism, reliability, and quality standards Qualifications • Bachelor's or Master's degree (or graduating soon) in Computer Science, Computer Engineering, Electrical Engineering, or a related field • Strong foundations in data structures, algorithms, and computer architecture • Solid programming skills in C/C++ and/or Python • Coursework, projects, or internships related to compilers, systems programming, or machine learning • Familiarity with at least one of the following through coursework or projects: • Compiler frameworks (LLVM, MLIR, TVM, or similar) • Machine learning or AI inference concepts • Low-level performance optimization or parallel programming • Ability to learn quickly, take feedback, and work collaboratively in a team environment • Clear written and verbal communication skills Nice to Have (Not Required) • Academic or personal projects involving compilers, code generation, or ML systems • Exposure to AI models such as CNNs or transformers • Understanding of heterogeneous systems (CPU, GPU, NPU, DSP) • Internship experience in systems software, embedded software, or AI infrastructure We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Videos To Watch https://www.youtube.com/embed/k-zs4tB6nNc