Solutions Architect, Data Processing

🕒 April 24

🏄 California – Remote

🏄 California – Remote

💵 $124k - $195.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

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.

📋 Description

• Research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures. • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. • Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line.

🎯 Requirements

• Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent 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.

🏖️ Benefits

• equity • benefits