- Robot type
- Warehouse and Logistics
- Location
- San FranciscoCaliforniaUSA
- Job type
- Software
- Posted
- May 29, 2026
- Salary
- $160,000–$210,000 a year
Software Engineer III, Multi-Robot Coordination
Job description
We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo;
Job responsibilities
- Push and maintain code in production for robot coordination, system state management, and operational workflows
- Build and maintain integrations with robot platforms, APIs, services, and data systems
- Develop fault‑tolerant, fail‑safe robotic software and scalable systems
- Triage and root-cause field issues reported from the Warehouse, driving necessary fleet SW, integration, and Robot SW changes based on analysis and findings.
- Work closely with robotics engineers, ML engineers, multi‑robot coordination teams, and product teams
- Lead or contribute to design reviews, code reviews, and technical planning
- Guide and support operations in the warehouse to achieve and sustain throughput goals.
Job requirements
- Bachelors or Masters in Computer Science, or related field, or equivalent experience
- 2-4 years of experience in production‑level coding in C++, Python, or Rust
- Demonstrated experience or knowledge of distributed systems, backend services, API design, CI/CD, AWS, Kubernetes
- Demonstrated experience designing scalable systems and leading complex technical projects.
- Excellent communication skills and ability to collaborate across teams.
- A proven track record of using analysis to influence high-stakes operational and engineering changes.
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