Edge AI Architect — Senior Staff for Embedded Intelligence

Renesas Electronics Corp.; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Renesas Electronics Corp. seeks a Senior Staff Application Technology Architect for Edge AI & ML to define and evolve AI/ML technologies across embedded and edge computing solutions.

You will bridge algorithms, sensor analytics, edge computing, and semiconductor technology, collaborating with product groups, system architects, software teams, and strategic customers to deliver AI-enabled solutions. You will shape Renesas' AI strategy, accelerate edge intelligence adoption, and mentor engineering

Qualifications

• Master's or Ph.D. in Computer Science, AI, Electrical Engineering, Data Science, or related field.
• 10+ years of experience in AI/ML, analytics, signal processing, computer vision, or intelligent embedded systems.

Responsibilities

• Define and own AI/ML technology architectures spanning embedded systems, edge computing, cloud-connected systems, and intelligent sensors.
• Translate customer challenges and market opportunities into AI solution architectures and roadmaps.
• Drive development of reusable AI frameworks, software architectures, inference pipelines, model deployment methodologies, and reference implementations.
• Lead evaluation and adoption of machine learning, deep learning, foundation-model, and agentic-AI technologies.
• Drive hardware/software partitioning across MCUs, MPUs, AI accelerators, NPUs, DSPs, FPGAs, and cloud resources.
• Define deployment strategies for AI workloads on resource-constrained embedded platforms.
• Evaluate and optimize AI models for accuracy, latency, memory footprint, power, and cost.
• Collaborate with product groups, software teams, system architects, and research partners to integrate AI capabilities.
• Support strategic customer engagements and act as trusted advisor on AI architecture.
• Monitor advances in AI/ML research to identify product differentiation.
• Contribute to AI reference architectures, technical papers, and patents.
• Provide mentoring and technical leadership to engineering teams.

Skills

AI Architecture

Machine Learning

Deep Learning

Signal Processing

Sensor Analytics

Data Fusion

Computer Vision

Edge AI Deployment

Time-Series Analysis

Explainable AI

Education

Master's or Ph.D. in related field

Tools

PyTorch

TensorFlow

ONNX

ML Deployment Frameworks

Job description

Renesas Electronics Corp. seeks a Senior Staff Application Technology Architect for Edge AI & ML to define and evolve AI/ML technologies across embedded and edge computing solutions.

You will bridge algorithms, sensor analytics, edge computing, and semiconductor technology, collaborating with product groups, system architects, software teams, and strategic customers to deliver AI-enabled solutions. You will shape Renesas' AI strategy, accelerate edge intelligence adoption, and mentor engineering