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Solutions Architect, Data Processing - New College Grad 2026 jobs in United States
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NVIDIA · 2 weeks ago

Solutions Architect, Data Processing - New College Grad 2026

NVIDIA is a leading technology company known for its innovation in GPU technology and AI. They are seeking a New College Grad Solutions Architect to research and develop techniques for GPU-accelerating high-performance databases and data analytics applications, collaborating with technical experts to optimize performance and influence future hardware designs.
Artificial Intelligence (AI)TransportationCloud ComputingEmbedded SoftwareGamingHardwareQuantum ComputingSemiconductorAI InfrastructureAutonomous VehiclesEmbedded SystemsFoundational AI
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Growth Opportunities
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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++ programmingAlgorithmsSoftware designParallel programmingCUDAOpenACCOpenMPMPIPthreadsTBBCPU architectureGPU architectureMemory subsystemHigh performance databasesETLData analyticsVector databasePrioritization

Required

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

Preferred

Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark)
Background in 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
89%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Marketing
Sales
Accounting and Finance
Customer Service and Support
Creatives and Design
Human Resources
Arts and Entertainment
Legal and Compliance
Trends of Total Sponsorships
*2026 (1247)
2025 (1868)
2024 (1353)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$29.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2026-06-15Post Ipo Debt· $25B
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M

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