Product Engineering Lead

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🏄 California – Remote

🏄 California – Remote

💵 $168k - $322k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as the primary US-based interface between Product Engineering and Operations • Strengthen visibility, alignment, and responsiveness as networking products progress from development into high-volume manufacturing • Establish trusted relationships across Engineering, Operations, Planning, Manufacturing, Supply Chain, and Executive Leadership • Provide ongoing awareness of product health, manufacturing readiness, yield performance, risk assessments, and execution status • Translate technical engineering information into actionable operational insights • Serve as the primary liaison between NPE engineering teams in Israel and Operations teams in the US • Function as the first responder for product-related operational crises and coordinate rapid engagement of engineering experts • Support product transitions from development into manufacturing and mass production • Assess operational impacts resulting from technical decisions and changes • Participate in operational reviews, readiness forums, partner concern calls, planning meetings, and war rooms • Drive transparency, accountability, and proactive communication across global teams and time zones

🎯 Requirements

• BS, MS, or PhD or equivalent experience in Electrical Engineering, Computer Engineering, Materials Science, Physics, or a related field • 12+ years in semiconductor product engineering, manufacturing, process engineering, or operations • Deep understanding of the semiconductor lifecycle from silicon development through volume manufacturing • Experience leading complex technical issues and driving multi-functional resolution • Strong executive communication and presentation skills • Direct experience with networking, datacenter, AI, ASIC, or high-performance semiconductor products • Strong understanding of yield management, test operations, manufacturing flows, and NPI-to-MP transitions • Experience as a technical liaison between engineering and operations • Track record of improving operational visibility, accelerating issue identification, reducing late-stage partner concerns, and building scalable operating models

🏖️ Benefits

• Equity • Benefits