Sr. Principal Engineer - Vision Intelligence

Oshkosh Corporation; Lansing (MI); On-site; USD 180,000 - 260,000; Full time

Job summary

Oshkosh Corporation in Michigan seeks a Sr. Principal Engineer, Vision Intelligence Lead, to provide technical leadership for computer vision, ML, and edge AI across intelligent products.

This role drives reusable Vision Intelligence tech across vehicle segments and guides AI concepts from research through embedded, edge, and cloud deployment into production. The ideal candidate has deep CV/AI expertise, experience deploying models on embedded, edge, and cloud platforms, and can translate

Qualifications

• Advanced degree required or equivalent practical experience in AI/vision fields.
• Relevant publications or patents are a plus.
• Experience leading AI/vision projects across embedded, edge, and cloud platforms.

Responsibilities

• Serve as the technical lead for Vision Intelligence across CV, ML, and edge AI initiatives.
• Define and drive the roadmap for reusable Vision Intelligence capabilities across Oshkosh segments.
• Translate advanced AI research into practical, scalable product capabilities.
• Establish model development, validation, AI governance, and MLOps practices.

Skills

Vision Intelligence

Computer Vision

Machine Learning

Edge AI

MLOps

AI Governance

Model Development

Validation

Cloud/Embedded deployment

Technical Leadership

Education

Master’s degree in Computer Science/Engineering

Job description

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

The Sr. Principal Engineer serving as the Vision Intelligence Lead provides technical leadership for computer vision, machine learning, and edge AI capabilities supporting Oshkosh intelligent products. This role is responsible for defining and advancing reusable Vision Intelligence technologies across multiple vehicle segments and leading the transition of AI concepts from research and IR&D through validation, embedded, edge, and cloud deployment and production adoption.

The role will establish model development, validation, AI model governance, and MLOps practices while partnering with Edge, Cloud, Systems, Controls, and Integration teams to develop scalable architectures.

The ideal candidate will have deep technical expertise in computer vision and AI, strong experience deploying models across embedded, edge, and cloud compute platforms, and the ability to translate advanced research into practical product capabilities. A Ph.D. in Computer Science, Electrical/Computer Engineering, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a related field is strongly preferred.

YOUR IMPACT:

• 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 to support traceable, repeatable, and controlled AI development.
• Define measurable performance requirements for AI systems, 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 to define scalable architectures, interfaces, and deployment strategies.
• Drive reuse of models, datasets, development frameworks, and system architectures across multiple vehicle platforms and applications.
• Lead technical reviews of AI models, datasets, system architectures, validation results, and production-readiness evidence.
• Evaluate emerging computer vision, AI, sensor, and compute technologies and provide technical recommendations for make, buy, or partner decisions.
• Support the transition of IR&D-developed technologies into direct-funded programs and production applications.
• Mentor engineers, provide technical guidance, and build Vision Intelligence expertise across the organization.
• Collaborate with universities, research organizations, suppliers, and technology partners on advanced AI and computer vision development.
• Identify opportunities for intellectual property, patents, and differentiated Vision Intelligence capabilities.
• Other duties as assigned.
• Regular attendance is required.

MINIMUM QUALIFICATIONS:

• Accredited Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a related technical field with eight (8) or more years of