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Atlas Data Storage

Staff Software Engineer, Full-Stack & Firmware

Reposted 22 Days Ago
In-Office
South San Francisco, CA
160K-200K Annually
Senior level
In-Office
South San Francisco, CA
160K-200K Annually
Senior level
As a Staff Software Engineer, you'll develop high-performance systems for DNA data storage, architecting software with various programming languages, and collaborating with hardware teams.
The summary above was generated by AI

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 very large data payload while ensuring end-to-end data integrity.
  • Help developing software running our highly custom DNA data storage platform
  • Working closely with hardware, electrical and chemistry teams to help define requirements and specifications.
  • Architecting and implementing using languages such as C, C++ or Rust.
  • Bringing expertise in low-level programming to develop firmware meeting strict timing and performance requirements.

Required Skills:

  • 12+ 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++, rust, typescript or python.
  • Deep, demonstrable understanding of memory management and allocation strategies across multiple languages and runtimes.
  • Proven ability to write performant, low-latency, and highly optimized code, particularly when dealing with very large data payloads (multi-gigabyte to terabyte scale).
  • Experience designing and implementing firmware and working with high-speed buses (SPI, 1G/10G Ethernet, USB…).
  • Knowledge of low-level technologies such as real-time operating systems, dma controllers, axi bus and cpu pipelining.

Desired Skills:

  • Prior experience working directly with hardware development, bring-up, and troubleshooting.
  • Front-end development (typescript, React or similar frameworks)
  • Understanding of FPGA and ASIC integration
  • 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.

Top Skills

AWS
Azure
C
C++
GCP
Python
Rust
Typescript

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