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About the Role

As a Staff High-Performance Software Engineer, you will be a foundational member of our engineering team, playing a critical role in accelerating complex encoding and decoding pipelines by leveraging the full computational power of GPUs and CPUs within a distributed system environment.

Responsibilities

Architect and implement highly efficient, distributed data processing pipelines across hybrid hardware platforms.
Develop highly optimized pipelines capable of processing massive data payloads with predictable throughput and resources.
Partner closely with our software, and bioinformatics team on integration within our larger ecosystem.

Requirements

8+ years of professional software development experience in high-performance or systems-level environments.
Deep expertise in systems-level programming languages such as C, C++, or Rust.
Strong understanding of CPU/GPU architectures, memory management, and hardware bottlenecks.
Advanced knowledge of parallel computing paradigms, concurrency, and distributed system architectures.
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).

Skills

C
C++
Rust
PyTorch
CUDA
OpenCL
Metal
NVIDIA Nsight
perf
Valgrind

Experience Level

8+ years

Education Level

Bachelor’s or master’s degree in computer science, Computer Engineering, or a related highly technical field.