Senior DevTech Engineer, Compression and Data Processing

NVIDIA

NVIDIA Senior DevTech Engineer developing GPU-accelerated compression and distributed data-processing solutions. Optimizing heterogeneous architectures and influencing next-generation hardware and software for analytics customers.

Posted 8/18/2026full-timeSanta Clara • California, New York • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GPU-accelerated data analytics, parallel programming, and complex data workload optimization. Proficient in collaborating with cross-functional teams to influence hardware and software advancements in data processing and compression.

Highest-signal resume keywords

GPU-Accelerated Data AnalyticsParallel ProgrammingCUDAC/C++ FluencyData Processing Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Low-Level Parallel ProgrammingAlgorithmsData StructuresData CompressionHigh-Performance Distributed DatabasesETLCUDAROCmOpenACCOpenMP

Soft Skills

Interpersonal SkillsProblem-SolvingPrioritizationTechnical Communication

Tools & Technologies

NVIDIAMPIPthreadsTBB

Industry Keywords

Data AnalyticsTransactional DatabasesVector DatabasesCompressionNPUASICCPU/GPU/NPU Architectures

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

Prototype and integrate novel GPU-accelerated approaches for dataframe analytics, compression, transactional databases, and vector databases
Analyze and optimize complex data-intensive workloads across heterogeneous GPU/CPU architectures
Collaborate with research, hardware, system software, libraries, and tools teams to influence next-generation hardware, software, and programming models
Work with NVIDIA customers and cloud service providers to integrate solutions at Speed-Of-Light
Influence open standards in data analytics and compression

Requirements

What you’ll need

Master's or PhD in Computer Science, Computer Engineering, Applied Math, and/or a related computationally focused science degree, or equivalent experience
At least 5+ years of relevant work or research experience
Hands-on low-level parallel programming across CPU, GPU, NPU, and ASIC execution units
Experience with CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB, or similar technologies
Fluency in C/C++, algorithms, and data structures
Knowledge of CPU/GPU/NPU accelerator architectures, memory subsystems, caches, NICs, and storage I/O
Domain expertise in data processing, compression and decompression, codecs, high-performance distributed databases, ETL, or data analytics
Strong interpersonal, problem-solving, prioritization, and technical communication skills

Benefits

Comp & perks

Equity
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