Renesas Electronics AI Compiler Engineer (New College Graduate) Automotive SoC \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . AI Compiler Engineer (New College Graduate) Automotive SoC Full-time Employment Type: Regular (PERM) Remote Work Available: No Compensation: USD 75,000 \- USD 110,000 \- yearly Job Description Location: Austin, Dallas Job Level: EntryLevel / New College Graduate Role Summary As a AI Compiler Engineer on the Renesas HPC team, you will work on compiler and codegeneration technologies that enable AI workloads to run efficiently on nextgeneration automotive SystemonChip (SoC) platforms. You will contribute to software that translates AI models into optimized execution for advanced automotive hardware used in softwaredefined vehicles (SDVs). This role is ideal for candidates who are passionate about compilers, systems software, and AI acceleration, and who want handson experience working at the intersection of software and hardware in a realworld, safetycritical domain. You will work closely with experienced compiler engineers, hardware architects, and AI specialists, learning how productiongrade AI compilers are built and optimized for automotive use cases. What Youll 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 crossfunctional teams (SoC architecture, AI software, systems) to understand hardware constraints and software requirements Write clean, welltested code and documentation following engineering best practices Learn automotive software requirements such as determinism, reliability, and quality standards Qualifications What Were Looking For Bachelors or Masters 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 - Lowlevel 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 Additional Information Why Join Renesas HPC Work on real automotive AI platforms used in production vehicles Learn from experienced engineers working on advanced 3 nm SoC technology Gain exposure to the full stack: AI models compilers hardware Build a strong foundation for a longterm career in compilers, AI systems, or SoC software Be part of a global team shaping the future of softwaredefined vehicles Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, To Make Our Lives Easier. At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make peoples lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating 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 federal, state or local 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. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning. 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Candidates should possess a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or be graduating soon. Strong foundations in data structures, algorithms, and computer architecture are required, along with solid programming skills in C/C++ and/or Python. Coursework, projects, or internships related to compilers, systems programming, or machine learning are necessary. Familiarity with compiler frameworks like LLVM, MLIR, or TVM, or with AI inference concepts, low-level performance optimization, or parallel programming is also needed. The ability to learn quickly, accept feedback, and work collaboratively is essential, as are clear written and verbal communication skills.