NVIDIA · 2 weeks ago
Senior Solutions Architect, Data Processing
California, United States
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is a leading technology company known for its innovative contributions to computing, and they are seeking a Senior Solutions Architect for High-Performance Databases. The role involves researching and developing techniques to GPU-accelerate high-performance databases and data analytics applications while collaborating with technical experts to optimize complex data-intensive workloads.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
In this role, you will 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
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
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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 CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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