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Staff Software Engineer, Full-Stack in South San Francisco, California at Mammoth DS, Inc

NewJob Function: Information Technology
Mammoth DS, Inc
South San Francisco, California, 94080, United States
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Job Description

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.

The pay range for this role is:
200,000 - 260,000 USD per year(HQ)

Job Location

South San Francisco, California, 94080, United States

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