Senior Staff Application Technology Architect – Artificial Intelligence & Machine Learning

SmartRecruiters, Inc.; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Renesas Electronics Americas seeks a Senior Staff Application Technology Architect in AI/ML to define architectures across embedded, edge, and cloud-connected systems. You will bridge algorithms, sensor analytics, edge computing, and semiconductor technologies to deliver differentiated AI-enabled solutions.

You will lead evaluation and adoption of machine learning techniques, drive deployment strategies for resource-constrained platforms, and mentor teams while collaborating with product groups

Qualifications

• Advanced degree or equivalent research background in AI/ML and related fields.
• Proven track record in AI architecture and leadership of technical teams.
• Experience across embedded, edge, and cloud-based AI deployments.

Responsibilities

• Define and own AI/ML architectures across embedded, edge, and cloud-connected systems.
• Translate market and customer needs into AI solution roadmaps and references.
• Drive reusable AI frameworks, inference pipelines, and model deployment methods.
• Mentor engineering teams and collaborate with product groups and partners.

Skills

AI/ML Architecture

Edge AI

Sensor analytics

Signal processing

Cloud-connected systems

Education

Master's degree or PhD in CS / AI / EE / Data Science

Tools

PyTorch

TensorFlow

ONNX

Job description

Senior Staff Application Technology Architect – Artificial Intelligence & Machine Learning

• Full-time


• Employment Type: Regular (PERM)


• Remote Work Available: No

Renesas Electronics Americas (REA) is a global semiconductor leader delivering innovative embedded solutions that enable billions of connected, intelligent, and sustainable devices worldwide. We combine the resources and stability of a multi-billion-dollar global organization with the speed, collaboration, and customer focus of an entrepreneurial technology company. Our products and solutions support some of the industry's most exciting innovations across AI infrastructure, cloud and networking platforms, automotive systems, industrial automation, robotics, and IoT applications. Join Renesas and help drive the next generation of technology with the world's leading innovators.

We are seeking an experienced Key Account Manager in the California Bay Area to join Renesas' Ecosystem Partners team and lead engagement with one of our most strategic global semiconductor customers. This customer is a leading provider of networking, broadband, custom silicon, storage, and AI infrastructure solutions serving hyperscale cloud, enterprise, and communications markets. In this role, you will drive strategic ecosystem initiatives, foster technical and business partnerships, and expand Renesas content through reference designs, platform engagements, and next-generation infrastructure programs.

About the Role

We are looking for an experienced and visionary AI Architect to define, drive, and evolve artificial intelligence and machine learning technologies across a broad range of intelligent embedded and edge computing solutions.

In this role, you will serve as a technical authority for AI and machine learning, bridging advanced algorithms, sensor analytics, edge computing, and semiconductor technologies. You will collaborate with product groups, system architects, software teams, and strategic customers to develop innovative AI-enabled solutions that deliver differentiated value across multiple market segments.

Your work will help shape the company's AI strategy, accelerate adoption of edge intelligence, and enable next-generation intelligent systems through advanced machine learning, signal processing, perception, and data analytics technologies.

Key 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.

Signal processing

Anomaly detection

Predictive analytics

Sensor fusion

Drive hardware/software partitioning across MCUs, MPUs, AI accelerators, NPUs, DSPs, FPGAs, and cloud resources.

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.

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.

Proven Expertise In: Machine Learning, Deep Learning, Statistical Modeling, Signal Processing, Computer Vision, Sensor Analytics, Data Fusion, Pattern Recognition, Predictive Analytics, Time-Series Analysis, Explainable AI, Edge AI

Strong Experience With: PyTorch, TensorFlow, ONNX, ML model optimization, Data pipelines, AI deployment frameworks

Strong Understanding Of: Embedded systems, Edge computing platforms, Heterogeneous compute architectures, MCUs, MPUs, NPUs, DSPs, and AI accelerators, Performance, power, and memory optimization

Nice to Have

PhD in Applied Mathematics, Machine Learning, Signal Processing, Computer Vision, or related discipline

Experience developing patented AI technologies or algorithms

Publications in AI, machine learning, signal processing, or computer vision

Experience with foundation models, multimodal AI, and agentic AI systems

Experience with sensor analytics and anomaly detection

Experience in embedded AI deployment

Familiarity with semiconductor architectures and AI acceleration technologies

Industry experience spanning multiple domains such as industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering 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 law. For more information, please read our Diversity & Inclusion Statement .

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.