Senior Solutions Architect, Data Processing at NVIDIA

, , India -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C/C++, CUDA, OpenACC, OpenMP, MPI, Pthreads, TBB, CPU/GPU Architecture, Memory Subsystem, High Performance Databases, ETL, Data Analytics, Vector Database, Algorithm Optimization, Parallel Programming

Industry

Computer Hardware Manufacturing

Description

NVIDIA is currently seeking a Solutions Architect for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence; join our team today! What you will be doing: 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 What we need to see: Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience. 4+ 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. Ways to stand out from the crowd: 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The role involves researching and developing techniques to accelerate high-performance database, ETL, and data analytics applications using GPUs. This includes performing in-depth analysis and optimization of complex data-intensive workloads alongside technical experts.