Staff Software Engineer, Full-Stack

Atlas Data Storage is charting the future of information storage by pioneering DNA data storage technology. We're a newly funded, high-growth startup at the intersection of biotechnology and computer science, tackling some of the most complex, long-term data challenges in the world. We're looking for an exceptional Staff Software Engineer to join our core engineering team. This is a unique opportunity to apply your full-stack expertise and low-level programming knowledge to build the systems that will make biological data storage a commercial reality. About the Role: As a Staff Software Engineer, you will be an essential member of our engineering team. You'll help architect, design, and implement high-performance software across our stack. Your responsibilities will include: Developing high-performance systems capable of handling large data payload while ensuring end-to-end data integrity. Developing software running our highly custom DNA data storage platform using distributed backend architecture and front-end UI Working closely with hardware, electrical and chemistry teams to help define requirements and specifications. Architecting and implementing using languages such as C#, C, C++ or Rust for backend and Typescript for front-end using frameworks such as React Required Skills: 10+ years of professional software development experience, with significant experience in a Staff-level or equivalent senior technical leadership role. Expertise in broad set of languages such as C#, C, C++, Rust, Typescript and python. Front-end development (typescript, React or similar frameworks) Demonstrable understanding of memory management and allocation strategies across multiple languages and runtimes to ensure smooth, consistent and highly reliable operation Proven ability to write performant, low-latency, and optimized code, particularly when dealing with very large data payloads (multi-gigabyte to terabyte scale). Desired Skills: Prior experience working directly with hardware development, bring-up, and troubleshooting. Familiarity with data storage technologies Experience with cloud platforms (AWS, Azure, GCP) for data storage and deployment infrastructure. Bachelor's or master’s degree in Computer Science, Electrical Engineering, or a related field.