AI Compiler Engineer (Entry‑Level / New College Graduate)

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

• 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

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world-leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.