Sr. Staff Embedded AI Engineer

About the role

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.

Responsibilities

• Contribute to the development of inference runtimes, model translation tools, or code generation systems.
• Optimize performance, memory footprint, and power consumption on embedded targets.
• Develop and optimize quantized neural networks for embedded systems using SIMD/DSP acceleration.
• Deploy machine learning models to resource-constrained systems.
• Work with Renesas MCU/MPU platforms (RA, RL78, RX, RZ).
• Experience with real-time systems (RTOS or bare-metal).
• Hardware debugging experience.

Requirements

• 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.
• Familiarity with Renesas MCU/MPU platforms (RA, RL78, RX, RZ).
• Experience with real-time systems (RTOS or bare-metal).
• Hardware debugging experience.

Benefits

At Renesas, you can:

• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions.
• 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.

Pay

Competitive salary and benefits package.

Schedule

Hybrid work model with designated in-office days on Tuesday through Thursday for innovation, collaboration and continuous learning.