Senior Staff AI Compiler Engineer
Location: Austin, TX, us
Job Description
Renesas Electronics is searching for a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll not only architect and scale a production-class AI compiler toolchain, but also rethink how AI automates, optimizes, and accelerates every step of building and deploying neural networks on Renesas SoCs. You’ll work shoulder-to-shoulder with visionary engineers—both human and AI—enabling adaptive compilers that learn, evolve, and redefine what’s possible for embedded intelligence. With a relentless focus on hardware-software co-design, you’ll collaborate across teams to translate high-level AI models into blazing-fast, energy-efficient executables, unlocking the full potential of our silicon for real-world impact. Innovation here isn’t a catchphrase—it’s your everyday.
Responsibilitiess:
- Develop an AI compiler toolchain, working with AI agents to map neural networks onto Renesas SoC platforms.
- Creating and testing new graph transformations, lowering, scheduling, and code generation methods for CPUs and custom accelerators, using insights from AI-powered analytics.
- Work on integrating popular AI frameworks like PyTorch, TensorFlow, and ONNX, using AI agents to support new model architectures and operations more quickly.
- Improve quantization, operator fusion, memory planning, and layout transformations, learning from both team members and AI-guided designs for better performance.
- Collaborate with hardware and software architects, kernel developers, and AI agents to help co-design compiler and accelerator features, supporting alignment between silicon and code for greater efficiency.
- Diagnose and crush performance bottlenecks with AI-enabled profiling and diagnostics, relentlessly tuning for latency, throughput, and power efficiency.
- Level up validation, benchmarking, and regression pipelines by harnessing AI agents—ensuring compiler correctness and world-class performance, release after release.
- Uplevel the developer experience by streamlining usability, diagnostics, and documentation—AI agents are your copilots for user support, troubleshooting, and rapid iteration.
Qualifications
- MS/PhD (or equivalent experience) in Computer Science, EE, or related field
- Hands-on experience with compilers, AI systems, or high-performance software, and a genuine interest in using AI to enhance engineering productivity and drive innovation.
- Comfortable coding in C/C++ and Python, able to contribute to established codebases, and open to collaborating with teammates and AI agents.
- Understanding of machine learning models, computational graphs, and operator concepts, with a willingness to learn how AI can support and streamline processes.
- Familier with compiler frameworks (TVM, MLIR, LLVM, etc.) or proprietary stacks, and interest in learning how to extend their features with AI-driven approaches.
- General knowledge of CPU/GPU/accelerator architecture, memory systems, and optimization principles, with enthusiasm for working on hardware-software integration projects.
- Creative problem-solver who enjoys tackling performance and correctness issues, including those identified by AI-powered analysis tools.
- Effective communicator and team player who is comfortable collaborating in cross-functional environments with engineers and AI copilots.
Additional Information
Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s 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 people’s 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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