Senior Principal Engineer – Vision Intelligence

This is a fully remote position, open to applicants in Michigan, +1 more state.

📋 Description

• Act as the technical leader for Vision Intelligence encompassing computer vision, machine learning, and edge AI projects.

• Formulate and guide the technical roadmap for reusable Vision Intelligence capabilities across various segments of Oshkosh.

• Convert advanced AI research into effective, scalable, and production-ready product functionalities.

• Set up practices for model development, validation, AI model governance, and MLOps.

• Establish quantifiable performance criteria for AI systems, including accuracy, latency, robustness, confidence, compute utilization, and operating-domain constraints.

• Oversee the deployment and enhancement of AI models across embedded, edge, and cloud computing platforms.

• Collaborate with Edge, Cloud, Systems, Controls, and Integration teams on scalable architectures, interfaces, and deployment methodologies.

• Promote the reuse of models, datasets, development frameworks, and system architectures across vehicle platforms and applications.

• Conduct technical reviews of AI models, datasets, architectures, validation outcomes, and production-readiness proofs.

• Assess emerging technologies in computer vision, AI, sensors, and computing to inform make, buy, or partner decisions.

• Assist in transitioning IR&D technologies into directly funded projects and production applications.

• Guide engineers and foster Vision Intelligence expertise throughout the organization.

• Work alongside universities, research entities, suppliers, and technology collaborators.

• Spot opportunities for intellectual property, patents, and unique Vision Intelligence capabilities.

• Perform additional 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 discipline.

• A minimum of eight (8) years of relevant experience.

• A Ph.D. in a pertinent technical field with at least four (4) years of relevant experience is strongly preferred.

• Background in automotive or heavy-duty vehicles with experience in vehicle control systems.

• Extensive experience with automotive or heavy-duty vehicle CAN bus and architecture.

• Proven experience in developing and deploying AI or computer vision solutions in embedded, edge, or cloud settings.

• Strong programming skills in Python.

• Familiarity with C/C++ or similar production AI and embedded-systems programming languages.

• Experience with tools such as PyTorch, TensorFlow, ONNX, OpenCV, CUDA, TensorRT, or their equivalents.

• Capability to lead complex technical projects, collaborate across multidisciplinary engineering teams, and mentor engineers.

• Regular attendance is mandatory.

• May be required to be a U.S. Person for roles involving controlled goods and technologies governed by ITAR or EAR.

🏝️ Benefits

• Competitive total rewards package.

• People-first culture.

• Opportunities to support the growth and success of team members.

• Reasonable accommodations for applicants with disabilities.