Staff High-Performance Software Engineer
Atlas Data Storage · South San Francisco, CA ·
- Seniority
- Staff
- Category
- Software engineering
- Experience
- 8+ years
Foundational staff engineer who architects and optimizes high-performance encoding/decoding data pipelines across GPUs and CPUs in a distributed system, partnering with software and bioinformatics teams. Core tech: C/C++/Rust, CUDA/OpenCL/Metal, PyTorch, parallel and distributed computing.
About the role
Role Overview As a Staff High-Performance Software Engineer, you will be a foundational member of our engineering team. You will play a critical role in accelerating our complex encoding and decoding pipelines, leveraging the full computational power of GPUs and CPUs within a distributed system environment.
Key Responsibilities
- System Architecture: Architect and implement highly efficient, distributed data processing pipelines across hybrid hardware platforms.
- Performance Optimization: Develop highly optimized pipelines capable of processing massive data payloads with predictable throughput and resources.
- Cross-Functional Collaboration: Partner closely with our software, and bioinformatics team on integration within our larger ecosystem.
Required Qualifications (Skills & Experience)
- Experience: 8+ years of professional software development experience in high-performance or systems-level environments.
- Languages: Deep expertise in systems-level programming languages such as C, C++, or Rust.
- Hardware Architecture: Strong understanding of CPU/GPU architectures, memory management, and hardware bottlenecks.
- Domain Knowledge: Advanced knowledge of parallel computing paradigms, concurrency, and distributed system architectures.
- Compute Frameworks: Proven ability to write highly optimized code using both high-level machine learning libraries (e.g., PyTorch) and low-level kernel development interfaces (e.g., CUDA, OpenCL, or Metal).
Preferred Qualifications
- Education: Bachelor’s or master’s degree in computer science, Computer Engineering, or a related highly technical field.
- Profiling Tools: Familiarity with performance profiling and debugging tools (e.g., NVIDIA Nsight, perf, Valgrind).