Senior Manager, GPU and AI Architecture

Job not on LinkedIn

April 24

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $272k - $425.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Analyze and anticipate leading-edge AI training workloads on future GPU architectures to guide strategic decisions on NVIDIA’s AI accelerator roadmap. • Drive the development and refinement of sophisticated performance models, simulation environments, and infrastructure critical for future GPU designs. • Collaborate closely with cross-functional teams across hardware design, architecture, software, and product management, providing deep AI training expertise. • Propose, evaluate, and advocate for groundbreaking hardware, system, and software innovations aimed at significantly enhancing AI training performance and efficiency. • Lead and scale a high-performance team of engineers, overseeing their career growth, performance management, recruitment, strategic goal-setting, and project delivery.

🎯 Requirements

• An MS or PhD (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or related fields, with 4+ years of relevant management experience and at least 10 years of total industry experience. • Proven expertise in GPU and AI accelerator architectures, with a robust understanding of hardware-software interactions. • Deep knowledge and hands-on experience with deep learning and AI, particularly in the context of large-scale AI training workloads. • Solid track record in performance analysis, including familiarity with profiling tools and methodologies for evaluating complex AI systems. • Demonstrated success in managing and expanding impactful technical teams, with a clear passion for developing talent and fostering team success. • Exceptional interpersonal skills and a strong drive to achieve results through collaboration and leadership.

🏖️ Benefits

• Eligible for equity and benefits