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 related experience.
STANDOUT QUALIFICATIONS
Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Computer Vision with four (4) or more years of related experience.
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.
Demonstrated experience developing and deploying AI or computer vision solutions across embedded, edge, or cloud environments.
Strong programming experience in Python and working knowledge of C/C++ or equivalent languages used for production AI and embedded systems.
Experience with modern AI/ML frameworks and tools such as PyTorch, TensorFlow, ONNX, OpenCV, CUDA, TensorRT, or equivalent.
Demonstrated ability to lead complex technical projects, work across multidisciplinary engineering teams, and mentor other engineers.
CORE COMPETENCIES
Internal Contacts: Contact with peers and others involving explanation of information (these contacts may be within or outside department or division), and the gathering of factual information; may include the communication of sensitive or confidential information.
External Contacts: Limited external contact to gather information, answer queries, or ask assistance.
Communication Skills: Read, write and comprehend simple instructions, short correspondence and memos; Read and interpret safety rules, operating/maintenance instructions and procedure manuals; Write routine reports, correspondence and speak effectively before both internal and external groups; Read, analyze and interpret business manuals, technical procedures and/or government regulations: Read, analyze and interpret scientific and technical journals, financial reports and legal documents.
Decision-Making: Significant responsibility for decisions and final results, affecting more than one function or a function with multiple unites. Substantial analysis is required and many factors must be weighted before a decision can be reached.
Complexity, Judgment and Problem Solving: Work requires the ability to plan and perform work in light of new or constantly changing problems, work from broad instruction, and deal with complex factors not easily evaluated. Decisions require considerable judgment, initiative and ingenuity in areas there is little precedent.
Supervisory/Managerial: General instructing, scheduling, and reviewing the work of others performing the same or directly related work. Acts as “lead worker”.
WORKING CONDITIONS
Physical Demands: Frequent: Standing, Walking/Running, Sitting, Reaching, Hearing, Talking, Visual, Typing; Occasional: Driving, Fine Dexterity, Manual Dexterity; Upper Extremity Repetitive Motion; Seldom: Lifting/Carrying 25lbs., Pushing/Pulling 25llbs.
Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.
Environmental Demands: Frequent: Work Alone, Frequent Task Changes, Tedious/Exacting Work; Occasional: High Volume Public Contact.
Work Schedule: Routine shift hours. Infrequent overtime, weekend, or shift rotation.
Demands/Deadlines: High volume and variable work demands and deadlines impose strain on routine basis or considerable stress intermittently; OR regular direct contacts with distressed individuals within the immediate work environment; and/or exposure to demands and pressures from persons other than immediate supervisor.
#LI-OSK #LI-hybrid
Pay Range
$104,100.00 - $173,900.00
The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.
