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).