Renesas Electronics America

Sr Staff Application Engineer

Renesas Electronics America$150K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in Computer Science, Applied Mathematics, AI, Electrical Engineering, Physics, or Data Science.
  • 10+ years in AI/ML, advanced analytics, signal processing, or intelligent embedded systems.
  • Proven experience as an AI Architect, Principal AI Engineer, or similar leadership role.
  • Expertise in Machine Learning, Deep Learning, and Signal Processing.
  • Strong knowledge of Embedded systems and Edge computing platforms.

Responsibilities

  • Define and manage AI/ML architecture for embedded and edge computing.
  • Translate market needs into AI solution architectures and roadmaps.
  • Develop reusable AI frameworks and software for model deployment.
  • Lead evaluation and adoption of various AI technologies and models.
  • Design architectures for diverse AI applications like sensor fusion and anomaly detection.
  • Optimize AI models considering accuracy and resource constraints.
  • Collaborate with teams to integrate AI into innovative solutions.

Benefits

  • Competitive benefits package (details to be shared in hiring process).
Full Job Description
Job Description

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.
  • Define architectures for:
  • Sensor intelligence
  • Signal processing
  • Computer vision
  • Anomaly detection
  • Predictive analytics
  • Sensor fusion
  • Autonomous decision making
  • Multimodal AI systems
  • 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.


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.

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

Additional Information

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


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?

Videos To Watch
https://www.youtube.com/embed/k-zs4tB6nNc

About Renesas Electronics America

Renesas Electronics America is a leading supplier of advanced semiconductor solutions including microcontrollers, SoC solutions and a broad range of analog and power devices, with operations spanning research, development, design and manufacturing for a wide range of applications.
Learn more about Renesas Electronics America
Size
2,000 employees
Industry

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