Senior Principal Engineer – Vision Intelligence

🕒 il y a 2 jours

🚗 Michigan, Wisconsin – Distant

infoinfo

💵 $104 100 - $173 900 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

Cloud

Python

PyTorch

Tensorflow

C++

D'où vient cette offre

Publiée sur la page carrières de Oshkosh Corporation, pas via un site d'emploi

Repérée par Remote Rocketship il y a 2 jours

Toujours ouverte sur le site de Oshkosh Corporation. Vérifiée il y a 8 minutes.

Logo of Oshkosh Corporation

Oshkosh Corporation

10 000+ employés

Fondée en 1917

🏗️ Construction

🎖️ Défense

🚀 Aérospatiale

Construction • Defense • Aerospace

Oshkosh Corporation est un leader innovant dans le domaine des véhicules et équipements spécialement conçus. L'entreprise se concentre sur l'optimisation des performances et la réduction de l'impact environnemental grâce aux véhicules électriques et aux produits intelligents utilisant les données et les analyses pour plus d'efficacité. Oshkosh s'engage pour l'autonomie et la sécurité active, contribuant à assurer la sécurité des opérateurs et l'efficacité des opérations. Grâce à des analyses avancées, Oshkosh identifie des opportunités commerciales et améliore le service client. Avec la fabrication numérique, l'entreprise révolutionne la production et raccourcit le délai de mise sur le marché, permettant ainsi des performances élevées dans des terrains difficiles. Oshkosh Corporation est également dévouée à son impact sur les communautés, mettant l'accent sur la durabilité, la philanthropie et le bénévolat. Elle vise à responsabiliser les utilisateurs, soutenir les membres de l'équipe et bâtir un monde qui priorise les personnes, tout en faisant progresser les industries à travers une innovation incessante.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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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