Senior Architect – Data Processing Systems, Analytics, Data Intelligence

🕒 2 days 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 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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, targeting performance, efficiency, and cost • 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 to shape hardware features through workload analysis and hardware-software co-design • Partner with internal teams to build and apply constraint-based frameworks and optimization solvers for complex 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 full 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 to drive alignment and deliver results • Hands-on experience with GPU-accelerated data processing (cuDF, RAPIDS, cuVS, CUDA) is a way to stand out • Deep familiarity with structured data engines and/or vector database systems is a way to stand out • Experience with mathematical optimization solvers and understanding of optimization fundamentals is a way to stand out • Background in network/storage architecture is a way to stand out

🏖️ Benefits

• Equity • Benefits

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume