Senior DevTech Engineer, Compression and Data Processing

Jobtailor; California (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Jobtailor seeks an experienced researcher to prototype and integrate GPU-accelerated approaches for dataframe analytics, compression, transactional databases, and vector databases.

You will analyze data-intensive workloads across CPU/GPU architectures and collaborate with research, hardware, and software teams to influence future tech. This role involves working with NVIDIA customers and cloud providers to deliver high-performance solutions, and shaping data analytics standards.

Qualifications

• 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.

Responsibilities

• 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.

Skills

GPU-Accelerated Data Analytics

Parallel Programming

C/C++ Fluency

CUDA

ROCm

OpenMP

MPI

Pthreads

Education

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

Tools

MPI

Pthreads

TBB

Job description

• 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

• 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

Core Competencies

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 Analytics
• Parallel Programming
• CUDA
• C/C++ Fluency
• Data Processing Expertise

ATS Optimization Keywords

Hard Skills

• Low-Level Parallel Programming
• Algorithms
• Data Structures
• Data Compression
• High-Performance Distributed Databases
• ETL
• CUDA
• ROCm
• OpenACC
• OpenMP

Soft Skills

• Interpersonal Skills
• Problem-Solving
• Prioritization
• Technical Communication

Industry Keywords

• Data Analytics
• Transactional Databases
• Vector Databases
• Compression
• NPU
• ASIC
• CPU/GPU/NPU Architectures

Tools & Technologies

• NVIDIA
• MPI
• Pthreads
• TBB