Sr Staff Application Engineer (AI)

Location: Austin, Texas, United States; onsite, with remote work unavailable

Company

hirify.global is a global semiconductor provider developing embedded solutions for AI infrastructure, cloud and networking, automotive, industrial automation, robotics, and IoT applications.

What you will do

• Define AI and machine-learning architectures for embedded systems, edge computing, cloud-connected systems, and intelligent sensors.
• Translate customer challenges, market opportunities, and technology trends into AI solution architectures and technology roadmaps.
• Develop reusable AI frameworks, software architectures, inference pipelines, model-deployment methodologies, and reference implementations.
• Evaluate and adopt machine learning, deep learning, foundation-model, and agentic-AI technologies.
• Design architectures for sensor intelligence, signal processing, computer vision, anomaly detection, predictive analytics, sensor fusion, autonomous decision-making, and multimodal AI.
• Lead hardware/software partitioning and collaborate with product, software, systems, research, and customer teams while mentoring engineers and contributing to technical publications, patents, and ecosystem initiatives.

Requirements

• 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.
• Track record as an AI Architect, Principal AI Engineer, Chief Architect, AI Research Lead, or equivalent technical leadership role.
• 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, and edge AI.
• Strong experience with PyTorch, TensorFlow, ONNX, model optimization, data pipelines, and AI deployment frameworks.
• Understanding of embedded systems, edge platforms, heterogeneous compute architectures, MCUs, MPUs, NPUs, DSPs, AI accelerators, and performance, power, and memory optimization.

Nice to have

• Ph.D. in applied mathematics, machine learning, signal processing, computer vision, or a related discipline.
• Patented AI technologies, algorithms, or publications in AI, machine learning, signal processing, or computer vision.
• Experience with foundation models, multimodal AI, agentic AI, sensor analytics, anomaly detection, and embedded AI deployment.
• Familiarity with semiconductor architectures and AI acceleration technologies.
• Industry experience in industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics.

Culture & Benefits

• Regular permanent employment with a competitive benefits package.
• Collaborative culture built around transparency, agility, global collaboration, innovation, and entrepreneurship.
• Opportunity to work with a global semiconductor organization operating across more than 30 countries.
• Work focused on automotive, industrial, infrastructure, and IoT technologies.