Senior DevTech: GPU Data Compression Engine

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a Senior DevTech Compute Engineer for Compression and Data Processing to prototype and integrate GPU-accelerated methods for dataframe analytics, high-throughput compression, and distributed databases. You will work with research, hardware, software libraries, and tools teams to optimize data-intensive workloads.

Required: Masters or PhD in CS/CE/Applied Math and 5+ years of experience, plus hands-on CUDA/ROCm/Metal and parallel programming expertise,

Qualifications

• Masters or PhD in Computer Science, Computer Engineering, Applied Math and/or related computationally focused science degree (or equivalent experience).
• At least 5+ years of relevant work or research experience, with a track record in state-of-the-art systems or complex projects.

Responsibilities

• Prototype and integrate novel approaches to GPU-accelerated distributed data processing domains: dataframe analytics, high-throughput lossless/lossy compression methods, transactional and vector databases.
• Collaborate with research, hardware, system software, libraries, and tools teams to optimize data-intensive workloads and influence design of future architectures.

Skills

CUDA

ROCm

Metal

OpenMP

MPI

pthreads

TBB

C/C++

Education

Master's or PhD in Computer Science/Computer Engineering/Applied Math

Tools

ROCm

CUDA Toolkit

OpenACC

Job description

NVIDIA Corporation in Santa Clara, CA seeks a Senior DevTech Compute Engineer for Compression and Data Processing to prototype and integrate GPU-accelerated methods for dataframe analytics, high-throughput compression, and distributed databases. You will work with research, hardware, software libraries, and tools teams to optimize data-intensive workloads.

Required: Masters or PhD in CS/CE/Applied Math and 5+ years of experience, plus hands-on CUDA/ROCm/Metal and parallel programming expertise,