Lead GPU-Accelerated Data Pipeline Architect

AtlasBase; South San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

AtlasBase is seeking an Architect to design and implement highly efficient distributed data processing pipelines across hybrid hardware platforms. The role focuses on accelerating complex encoding/decoding pipelines using GPUs and CPUs.

Requires 8+ years in high-performance or systems-level software, with deep expertise in C, C++, or Rust and solid knowledge of parallel computing and GPU/CPU architectures.

Qualifications

• 8+ years of professional software development in HPC or systems-level environments.
• Expertise in C, C++, or Rust and deep knowledge of parallel computing."],
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Skills

C

C++

Rust

CUDA

OpenCL

Metal

PyTorch

Distributed Systems

GPU Architecture

CPU Architecture

Parallel Computing

Concurrency

Memory Management

Performance Profiling

System Architecture

High-Performance Computing

Tools

CI/CD

Linux

GPGPU Tooling

Job description

AtlasBase is seeking an Architect to design and implement highly efficient distributed data processing pipelines across hybrid hardware platforms. The role focuses on accelerating complex encoding/decoding pipelines using GPUs and CPUs.

Requires 8+ years in high-performance or systems-level software, with deep expertise in C, C++, or Rust and solid knowledge of parallel computing and GPU/CPU architectures.