Senior Principal Engineer – Vision Intelligence

Vaga não está no LinkedIn

🔥 12 horas atrás

🚗 Michigan, Wisconsin – Remoto

infoinfo

💵 $104.100 - $173.900 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Oshkosh Corporation, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 12 horas atrás

Ainda aberta no site da Oshkosh Corporation. Verificada 5 horas atrás.

Logo of Oshkosh Corporation

Oshkosh Corporation

10.000+ funcionários

Fundada em 1917

🏗️ Construção

🎖️ Defesa

🚀 Aeroespacial

Construction • Defense • Aerospace

A Oshkosh Corporation é uma líder em inovação de veículos e equipamentos desenvolvidos para propósitos específicos. A empresa foca em maximizar o desempenho e reduzir o impacto ambiental por meio de veículos elétricos e produtos inteligentes que utilizam dados e análises para maior eficiência. A Oshkosh está comprometida com a autonomia e segurança ativa, ajudando a manter os operadores seguros e as operações eficientes. Com análises avançadas, a Oshkosh identifica oportunidades de negócio e aprimora o atendimento ao cliente. Através da fabricação digital, a empresa revoluciona a produção e reduz o tempo de lançamento no mercado, permitindo alto desempenho em terrenos desafiadores. A Oshkosh Corporation também é dedicada ao impacto nas comunidades, enfatizando sustentabilidade, filantropia e voluntariado. Ela visa capacitar usuários, apoiar membros da equipe e construir um mundo que prioriza as pessoas, enquanto avança as indústrias por meio de inovação incessante.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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