Teams at Atlas Data Storage

Architects and implements distributed system and instrument software for DNA synthesis hardware. Develops high-performance, low-latency pipelines handling multi-gigabyte to terabyte-scale data while maintaining end-to-end integrity. Collaborates with hardware, electronics, and chemistry teams to build and troubleshoot complex systems. Provides senior technical leadership and applies expertise in C#, C++, or Rust, memory management, multithreading, messaging, and inter-process communication.

Leads system integration of electrochemical enzymatic DNA synthesis on CMOS chips. Responsibilities include integrating chemistry, surface science, microfluidics, software, and hardware; translating assays to automated instruments; troubleshooting failure modes; optimizing workflow robustness; analyzing experimental data; transferring technology toward products; and mentoring junior scientists and engineers.

Architect and optimize distributed encoding and decoding pipelines across CPU and GPU platforms. Develop high-throughput, resource-efficient data processing systems, applying systems programming, parallel computing, concurrency, memory management, and hardware optimization. Collaborate with software and bioinformatics teams to integrate these pipelines into AtlasBase’s molecular computing and data storage ecosystem.