What are the responsibilities and job description for the Staff Software Engineer, Full-Stack position at Atlas Data Storage?
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
160,000 - 200,000 USD per year(HQ)
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
- 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).
- 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.
160,000 - 200,000 USD per year(HQ)