Sr. Staff Embedded AI Engineer

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.

• BS/MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 6+ years of experience in embedded systems software development.
• Strong proficiency in C/C++ for embedded platforms.
• Strong proficiency in Python for tooling, automation, or ML workflows.
• Experience deploying machine learning models to resource-constrained systems.
• Solid understanding of neural network fundamentals and internals
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Experience optimizing performance, memory footprint, and power consumption on embedded targets.

Qualifications

• Experience developing inference runtimes, model translation tools, or code generation systems.

• Experience with CMSIS-NN or other embedded ML acceleration libraries.

• Experience optimizing quantized neural networks for embedded systems using SIMD/DSP acceleration.

• Familiarity with Renesas MCU/MPU platforms (RA, RL78, RX, RZ).

• Experience with real-time systems (RTOS or bare-metal).

• Hardware debugging experience.

Renesas is seeking a Sr. Staff Embedded AI Engineer to develop advanced TinyML and embedded AI solutions targeting Renesas microcontroller and MPU platforms (RA, RL78, RX, RZ). This is a highly technical, hands-on role focused on building cloud-based model translation infrastructure and optimizing network inference for resource-constrained embedded systems. You will contribute to a small team developing a service that converts trained machine learning models into efficient C/C++ implementations for deployment on microcontrollers. The ideal candidate combines strong embedded software expertise with solid machine learning fundamentals and is comfortable working across the stack - from neural network internals to low-level performance optimization. You should be someone who contributes new ideas, challenges assumptions, and helps improve both tooling and embedded implementation quality, 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?