
10,000+ employees
⚡ Energy
🚀 Aerospace
🤖 Artificial Intelligence
Energy • Aerospace • Artificial Intelligence
GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.
🕒 February 18
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10,000+ employees
⚡ Energy
🚀 Aerospace
🤖 Artificial Intelligence
Energy • Aerospace • Artificial Intelligence
GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.
• Lead the end-to-end product development lifecycle for industrial software solutions, from concept to deployment, ensuring alignment with customer requirements and operational constraints. • Define and oversee software architecture for complex industrial environments, guaranteeing reliability, scalability, and compliance with industry standards. • Collaborate cross-functionally with engineering, product management, and commercial teams to deliver solutions that meet internal and external customer expectations. • Integrate AI/ML capabilities at a conceptual level, ensuring the team understands and applies relevant algorithms where appropriate with safety-by-design, and work with data scientists. • Act as a technical leader, providing strategic direction and mentoring team members.
• Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics. • At least 10 years of experience in an engineering capacity • Proven experience delivering software products for external customers (not limited to internal IT systems). • Strong background in software architecture and design for industrial environments.
• Relocation Assistance Provided: No
Apply Now🕒 February 18
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