Senior Solutions Architect, Data Processing jobs in United States
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NVIDIA · 2 months ago

Senior Solutions Architect, Data Processing

NVIDIA is a leading technology company known for its innovation in GPU technology and AI computing. They are seeking a Senior Solutions Architect for High-Performance Databases to research and develop techniques for GPU-accelerating high-performance databases and data analytics applications, while collaborating with technical experts and influencing hardware architecture design.

Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

C/C++ programmingCUDACPU/GPU architectureHigh performance databasesETLData analyticsParallel programmingCommunication skillsProblem solvingOrganization skills

Required

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

Preferred

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

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase