Senior Architect – Data Processing Systems, Analytics, Data Intelligence

Job not on LinkedIn

🔥 2 minutes ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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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

• Co-design future architectures for NVIDIA's data processing platforms • Engage with end users, open-source communities, ISVs, storage partners, and CSPs to incorporate customer insights into roadmaps and reference architectures • Drive full-stack performance optimization from CUDA kernels and accelerated libraries to system-level IO, shuffle, compression, and data movement • Collaborate with CPU, GPU, and platform architects on hardware-software co-design • Build and apply constraint-based frameworks and optimization solvers to navigate design trade-offs • Develop benchmarking frameworks to evaluate performance sensitivities and guide hardware-software co-optimization • Analyze production workloads to identify compute motifs, IO patterns, and optimization opportunities across the platform stack

🎯 Requirements

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience • 8+ years of experience in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design • Extensive knowledge in one or more of: data processing systems, accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysis • Experience evaluating system-level trade-offs across compute, IO provisioning, memory subsystem development, network topology, and storage tiering is a strong plus • Ability to translate sophisticated system analysis into clear, actionable recommendations • Ability to work across matrixed organizations • Hands-on experience with GPU-accelerated data processing is a plus • Deep familiarity with structured data engines and/or vector database systems is a plus • Experience with mathematical optimization solvers and optimization fundamentals is a plus • Background in network/storage architecture is a plus

🏖️ Benefits

• Equity • Benefits