Software Engineer, Distributed Data Systems (Robotics)

TL;DR

Software Engineer, Distributed Data Systems (Robotics): Designing and scaling infrastructure for large-scale multimodal training and evaluation with an accent on distributed compute, data orchestration, and streaming infrastructure. Focus on hardening critical data pipelines, improving system scalability, and translating research requirements into production-ready systems.

Location: Hybrid in San Francisco, CA (3 days in office per week)

Salary: $230,000 – $385,000 + Equity

Company

AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Design, build, and maintain data infrastructure systems including distributed compute, orchestration, storage, and streaming.
• Scale the data platform by orders of magnitude while ensuring reliability and efficiency.
• Partner with researchers to translate complex requirements into production-ready systems.
• Harden and optimize critical data infrastructure powering multimodal training and evaluation.
• Manage distributed data pipelines to support rapid iteration cycles.

Requirements

• Strong experience with distributed systems and large-scale infrastructure.
• Must be based in or be able to relocate to San Francisco, CA.
• Proven rigor in building and maintaining reliable systems in high-stakes environments.
• Excellent software engineering fundamentals and organizational skills.
• Comfortable working with ambiguity and rapid change.

Culture & Benefits

• Hybrid work model (3 days in-office per week).
• Relocation assistance provided for new employees.
• Opportunity to work on the cutting edge of general-purpose robotics and AI.
• Equity compensation as part of the total package.