Senior Solutions Architect, Data Processing

🔥 49 minutes ago

🏄 California, Illinois, +2 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🌴 South Carolina – Remote 🤠 Texas – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.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

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

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

Upload Resume

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

• Research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications • Work directly with technical experts from industry and academia to perform in-depth analysis and optimization of complex data-intensive workloads • Optimize performance for current GPU architectures • Influence the design of next-generation hardware architectures, software, and programming models • Collaborate with research, hardware, system software, libraries, and tools teams at NVIDIA • Influence industry and academic partners to advance data processing with NVIDIA’s product line

🎯 Requirements

• Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience • 8+ years of experience • Programming fluency in C/C++ with a deep understanding of algorithms and software design • Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc. • In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem • Domain expertise in high performance databases, ETL, data analytics and/or vector database • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills • Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark) • Background with optimizing vector database index build and/or search • Experience profiling and optimizing CUDA kernels • Background with compression, storage systems, networking, and distributed computer architectures

🏖️ Benefits

• Equity • Benefits