Senior Principal Engineer – Vision Intelligence

Job not on LinkedIn

🔥 13 minutes ago

🚗 Michigan, Wisconsin – Remote

🚗 Michigan – Remote 🧀 Wisconsin – Remote

💵 $104.1k - $173.9k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Oshkosh Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1917

🏗️ Construction

🎖️ Defense

🚀 Aerospace

Construction • Defense • Aerospace

Oshkosh Corporation is a leading innovator of purpose-built vehicles and equipment. The company focuses on maximizing performance and reducing environmental impact through electric vehicles and intelligent products that leverage data and analytics for efficiency. Oshkosh is committed to autonomy and active safety, helping to keep operators safe and operations efficient. With advanced analytics, Oshkosh identifies business opportunities and enhances customer service. Through digital manufacturing, the company revolutionizes production and shortens time to market, thereby enabling high performance in challenging terrains. Oshkosh Corporation is also dedicated to its impact on communities, emphasizing sustainability, philanthropy, and volunteering. It aims to empower users, support team members, and build a world that prioritizes people, all while advancing industries through relentless innovation.

📋 Description

• Serve as the technical lead for Vision Intelligence across computer vision, machine learning, and edge AI initiatives • Define and drive the technical roadmap for reusable Vision Intelligence capabilities across multiple Oshkosh segments • Translate advanced AI research into practical, scalable, production-oriented product capabilities • Establish model development, validation, AI model governance, and MLOps practices • Define measurable AI-system performance requirements, including accuracy, latency, robustness, confidence, compute utilization, and operating-domain limitations • Lead deployment and optimization of AI models across embedded, edge, and cloud compute platforms • Partner with Edge, Cloud, Systems, Controls, and Integration teams on scalable architectures, interfaces, and deployment strategies • Drive reuse of models, datasets, development frameworks, and system architectures across vehicle platforms and applications • Lead technical reviews of AI models, datasets, architectures, validation results, and production-readiness evidence • Evaluate emerging computer vision, AI, sensor, and compute technologies and recommend make, buy, or partner decisions • Support transition of IR&D technologies into direct-funded programs and production applications • Mentor engineers and build Vision Intelligence expertise across the organization • Collaborate with universities, research organizations, suppliers, and technology partners • Identify opportunities for intellectual property, patents, and differentiated Vision Intelligence capabilities • Perform other duties as assigned

🎯 Requirements

• Accredited Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a related technical field • Eight (8) or more years of related experience • Ph.D. degree in a relevant technical field with four (4) or more years of related experience (strongly preferred) • Automotive or heavy-duty vehicle background with vehicle control system experience • In-depth work experience in automotive or heavy-duty vehicle CAN bus and architecture • Experience developing and deploying AI or computer vision solutions across embedded, edge, or cloud environments • Strong programming experience in Python • Working knowledge of C/C++ or equivalent production AI and embedded-systems languages • Experience with PyTorch, TensorFlow, ONNX, OpenCV, CUDA, TensorRT, or equivalent tools • Ability to lead complex technical projects, work across multidisciplinary engineering teams, and mentor engineers • Regular attendance is required • May need to be a U.S. Person for positions involving controlled goods and technologies under ITAR or EAR

🏖️ Benefits

• Competitive total rewards package • People-first culture • Opportunities to support team member growth and success • Reasonable accommodation for applicants with disabilities

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