NVIDIA
Senior DevTech Compute Engineer, Compression and Data Processing
$184K–$356K
US, CA, Santa Clara +3 · Senior · Full-time · Posted Aug 17, 2026
- Location
- US, CA, Santa Clara
US, NY, Remote
US, CA, Remote
US, NY, New York - Experience
- At least 5+ years of relevant work or research experience.
- Education
- Master’s or PhD in Computer Science, Computer Engineering, Applied Math, or a related computationally focused science field (or equivalent experience).
About the job
Prototype and integrate GPU-accelerated methods for distributed data processing, while optimizing workloads and helping shape future hardware, software, and programming models.
What you'll do
- Develop approaches for dataframe analytics, compression, and transactional and vector databases.
- Analyze and optimize data-intensive workloads across heterogeneous GPU/CPU architectures.
- Collaborate on next-generation systems and integrate solutions with customers and cloud service providers.
What they ask for
- Master’s or PhD in Computer Science, Computer Engineering, Applied Math, or a related computationally focused science field (or equivalent experience).
- At least 5+ years of relevant work or research experience.
- Hands-on low-level parallel programming experience across execution units; fluency in C/C++, algorithms, and data structures.
- Knowledge of accelerator architecture, memory systems, and data processing, compression, codecs, or high-performance distributed databases, ETL, and analytics.
Nice to have
- PhD or a recent relevant project or publication.
- Relevant background in compression or codecs, storage, networking, distributed architectures, or open-source contributions.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB
Model-written summary · the original posting is authoritative