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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.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
