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Robotics Software Engineer - Field Deployment & Support

Pay not postedSavannah, GAFull-time

Own production software and field deployment of MothershipOS in live customer warehouses, combining software development with on-site launch, stabilization, and incident response.

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At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations

Travel Required, amount not stated

Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 2+ yearsSystems engineering, robotics software, backend engineering, infrastructure, or field engineering
  • 6+ yearsSystems engineering, robotics software, backend engineering, infrastructure, or field engineering

Background

  • Software engineering

Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Savannah, GA. Could you work there?

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Conditions

Location
Savannah, GA
Employment type
Full-time
Travel
Travel required, amount not stated

More like this

What you’ll do

  • Write and maintain production services, deployment tools, and diagnostic utilities.
  • Deploy and validate the software stack at customer warehouse sites.
  • Own launch and stabilization issues, including off-hours incidents.
  • Improve system uptime, throughput, and reliability through code and infrastructure changes.

What you’ll bring

  • Have 2–6 years of relevant experience, including genuine software development experience.
  • Write maintainable, production-grade code in Python or C++.
  • Have hands-on Docker/Docker Compose experience.
  • Have Linux/server administration and networking fundamentals, including DHCP, DNS, VLANs, and TLS/certificates.

About Destro AI

Builds AI software that coordinates warehouse robots, workers, and enterprise systems across live operations.

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