Senior DevTech: Data Compression & Processing (Hybrid, Equity)

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

Job summary

NVIDIA is seeking a Senior DevTech Compute Engineer for Compression and Data Processing to prototype and integrate GPU-accelerated data workflows and to optimize data-intensive workloads at scale.

The role involves collaboration with researchers, industry partners, and internal teams to influence hardware and software directions, data formats, and compression techniques across distributed systems.

This position is based in California with hybrid work options and offers equity and benefits.

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 the state-of-the-art systems or complex projects, involving cross-team collaboration and solid prioritization skills.
• Hands-on experience with low-level parallel programming across execution units (CPU/GPU/NPU/ASICs), e.g., CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
• Fluency in C/C++, algorithms and data structures
• CPU/GPU/NPU accelerators architecture fundamentals, memory subsystem, caches, NICs and storage I/O
• Domain expertise in data processing, compression and decompression, codecs or in high performance distributed databases, ETL and data analytics

Responsibilities

• In this role, you will prototype and integrate novel approaches to GPU-accelerated distributed data processing domains: dataframe analytics, high-throughput low-latency advanced lossless and lossy compression methods, transactional and vector databases.
• 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 heterogeneous GPU/CPU 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.
• Work directly with the NVIDIA largest customers and CSPs to integrate the solutions at Speed-Of-Light, and influence open standards in data analytics and compression

Skills

C/C++

CUDA

ROCm

OpenMP

MPI

pthreads

TBB

Data processing

Education

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

Job description

NVIDIA is seeking a Senior DevTech Compute Engineer for Compression and Data Processing to prototype and integrate GPU-accelerated data workflows and to optimize data-intensive workloads at scale.

The role involves collaboration with researchers, industry partners, and internal teams to influence hardware and software directions, data formats, and compression techniques across distributed systems.

This position is based in California with hybrid work options and offers equity and benefits.