Senior AI Architect for Edge Intelligence & Embedded ML

Renesas Electronics Corp.; Dallas (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Renesas Electronics Americas seeks a Senior Staff Application Technology Architect to define, drive, and evolve AI/ML technologies across embedded and edge computing solutions. You will bridge algorithms with sensor analytics and semiconductor tech, collaborating with product groups and customers to deliver AI-enabled systems.

You will steer AI strategy, accelerate edge intelligence adoption, and mentor engineering teams, shaping future reference architectures and deployment platforms.

Qualifications

• Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field.
• 10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems.
• Proven track record as an AI Architect, Principal AI Engineer, Chief Architect, AI Research Lead, or equivalent technical leadership role.

Responsibilities

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

Skills

AI Architect

Edge AI

Machine Learning

Deep Learning

Signal Processing

Computer Vision

Sensor Analytics

Data Fusion

Explainable AI

Time-Series Analysis

Pattern Recognition

Predictive Analytics

Statistical Modeling

Edge Computing

Hardware/Software Partitioning

Education

Master's or Ph.D. in Computer Science / AI / Electrical Engineering / Data Science

Tools

PyTorch

TensorFlow

ONNX

Job description

Renesas Electronics Americas seeks a Senior Staff Application Technology Architect to define, drive, and evolve AI/ML technologies across embedded and edge computing solutions. You will bridge algorithms with sensor analytics and semiconductor tech, collaborating with product groups and customers to deliver AI-enabled systems.

You will steer AI strategy, accelerate edge intelligence adoption, and mentor engineering teams, shaping future reference architectures and deployment platforms.