Senior Technical Program Manager, AI Inference

🔥 3 minutes ago

🏄 California – Remote

infoinfo

💵 $168k - $322k / year

⏰ Full Time

🟠 Senior

🔧 Technical Program Manager

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Logo of NVIDIA

NVIDIA

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

• Drive planning, scheduling, dependency tracking, and executive reporting across multiple concurrent inference programs • Partner with hardware and software engineering leads to align library development with new and upcoming hardware timelines • Coach teams on agile practices and run the rituals that keep programs on track • Build and maintain metrics that surface risks early and support decisions with real data • Communicate program status and technical context clearly to engineering teams and senior leadership alike • Align global, cross-disciplinary teams spanning hardware, software, and product • Identify process gaps and implement improvements that increase delivery quality and team efficiency • Moderate complex technical discussions and drive them to clear, documented conclusions • Own the full program lifecycle from initial planning through delivery

🎯 Requirements

• BS degree in Computer Science, Artificial Intelligence, or equivalent experience • 10 years of experience leading global technical programs • Solid knowledge of software engineering standard methodologies, hardware bring-up processes, and enterprise quality standards • Proficiency with Scaled Agile frameworks and program tracking tools • Demonstrated ability to resolve resource conflicts, unblock teams, and drive alignment at every level of the organization • Clear, compelling communication skills across both technical and business audiences • Proven experience in machine learning, deep learning, GPU technology, or AI infrastructure • Experience shipping production AI software or co-managing software-hardware programs end to end • A record of building scalable program management practices in growing engineering organizations • Familiarity with open-source inference frameworks or model optimization tooling

🏖️ Benefits

• Equity • Benefits

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