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Senior DevTech Compute Engineer, Compression and Data Processing

NVIDIA· Engineer, Tech SW
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Hybrid (US, CA, Santa Clara), Hybrid (US, CA, Remote), Hybrid (US, NY, New York), Hybrid (US, NY, Remote)$184k - $287.5kFull-timePosted 1mo ago

About the role

Senior DevTech Compute Engineer focused on GPU-accelerated compression and data processing, data analytics, and distributed data workflows. Involves prototyping novel methods, co-design with hardware/software teams, and collaborating with customers to optimize performance on heterogeneous GPU/CPU architectures.

Responsibilities

  • Prototype and integrate novel approaches to GPU-accelerated distributed data processing domains: dataframe analytics, high-throughput low-latency lossless and lossy compression methods, transactional and vector databases.
  • Work with technical experts to analyze and optimize complex data-intensive workloads for heterogeneous GPU/CPU architectures.
  • Influence design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
  • Collaborate with NVIDIA largest customers and CSPs to integrate solutions quickly and influence open standards in data analytics and compression.

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 cross-team collaboration and prioritization skills.
  • Hands-on experience with low-level parallel programming across CPU/GPU/NPU/ASICs (e.g., CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB).
  • 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 high performance distributed databases, ETL and data analytics

Skills

Required:Low-level parallel programmingC/C++

Benefits

  • Equity and benefits (as referenced in posting)
Last updated Aug 28, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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