Hiring: Sr Staff Application Engineer Company: Renesas Electronics Location: Austin, TX Job Posted Time: 2026-09-16 17:55:34 Target Skills & Keywords : AI, Agile, Computer Vision, Data Pipeline, Deep Learning, Embedded Systems, Machine Learning, ONNX, PyTorch, TensorFlow About the job Experience: •10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems. Required Skills: •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. •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. Qualifications: •Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field. •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 •PhD in Applied Mathematics, Machine Learning, Signal Processing, Computer Vision, or related discipline •Publications in AI, machine learning, signal processing, or computer vision •Operational 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 Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!