Senior AI Engineer

We are seeking a highly skilled and hands‑on Senior Staff AI Engineer to head our Edge AI Applications Lab. You will lead R&D and PoC/AI product demo projects involving physical hardware builds and microcontroller deployment of tiny AI models, manage the lab space and equipment, and collaborate cross‑BU and with customers on physical lab implementations.

• Lead the Edge AI Applications Lab, including management of projects, people, facilities, and scheduling.
• Develop and maintain edge AI applications, demos, and solutions that combine tinyML models with a variety of hardware settings, including consumer devices, industrial machines, and automotive.
• Collaborate with customers and internal product teams to ingest, debug, and analyze data for model development.
• Work with AI and embedded engineers to optimize and deploy AI models suitable for MCUs and embedded platforms.
• Manage technical and logistical aspects of industrial laboratory projects, including planning, part procurement, instrumentation, hardware setup, and ML model creation.
• Fabricate and assemble hardware setups (e.g., sensor arrays, embedded boards) and collect data from real-world environments to support model development and validation.
• Mentor junior engineers and contribute to technical leadership across teams.
• Stay current with emerging technologies in AI, embedded ML, and signal processing.

• Master’s or PhD in Electrical Engineering or a related technical field, with 7–12 years of career experience.
• Understanding of AI/ML algorithms and experience deploying models on MCUs.
• Practical fabrication of prototype systems that combine physical, microelectronic, and sensor elements, with familiarity of design tools, 3D printing, and hands‑on electrical and physical assembly.
• Demonstrated experience leading engineering teams and collaborating effectively across multiple cross‑functional groups.
• Broad familiarity with types of sensors, their placement, and applications in practical systems, including audio, electrical, accelerometers, and control system signals.
• Experience working with large high‑frequency sensor datasets (e.g., audio, motor control, accelerometer data), including debugging, preprocessing, and ML Ops.
• Proficiency in Python, MATLAB, and C, specifically with real‑time edge computing and embedded systems.
• Background in digital signal processing (DSP) for audio and time‑series data preferred.

The expected annual pay range for this position is $139,500 – $185,000 and is also eligible for bonus opportunities and commission pay. Benefits include medical, dental, vision, health savings accounts, dependent care flexible spending accounts, pre‑tax commuter benefits, life insurance, AD&D, long‑term disability, short‑term medical benefits, paid sick time, paid holidays, and accrued vacation. Company‑paid life insurance, AD&D, LTD, and short‑term medical benefits are also included.

Renesas Electronics is an equal‑opportunity and affirmative‑action employer, committed to diversity and 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.