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# Staff Software Engineer, AI Deployment

- **Company:** Dyna Robotics
- **Location:** Redwood City, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Computer Engineering, Continuous Integration, Software Design Patterns, Web Development, Python (Programming Language), Machine Learning, Software Architecture, Server Administration, Smart Devices, Software Deployment, Software Engineering, Systems Architecture, Technical Data Management Systems, Google Cloud, IT Architecture, Backend, Build Management, Containerization, Kubernetes, Information Technology, Docker
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-ai-deployment-redwood-city-ca--6e1c612b-6ab8-4027-9175-b420731e8531

## About the Role

Software Engineering, Artificial Intelligence (AI), Robotics, Artificial Intelligence (AI), Computer Operations, Software Architecture, Software Administration, Cloud Computing, Research Laboratory, Fleet Management, * Bachelor's degree or higher in Computer Science, Computer Engineering, Robotics, or a related field.

 * Strong Computer Science foundations: Deep, first-principles understanding of systems architecture, software design patterns, and application-level development. You understand how systems work under the hood, not just how to string APIs together.
 * At least 3 years of professional experience as a versatile software engineer, with strong capabilities in both backend systems and broad application-level software.
 * Proficient in Python ecosystem.
 * Proven experience building robust, scalable software that spans multiple domains (e.g., bridging cloud backend services with edge devices, physical hardware, or complex data collection systems).
 * Experience with containerization, orchestration (Docker, Kubernetes), and cloud architecture (AWS, GCP, Azure).
 * Highly adaptable and comfortable working across a varied tech stack.
 * Strong cross-domain communication skills, with the ability to collaborate effectively with AI researchers, hardware engineers, and platform teams.
 * Demonstrated passion for the intersection of AI research and wide-scale infrastructure, specifically for robotics or autonomous systems.

Bonus Points For

 * Familiarity with Unity, C#, and VR development
 * Familiarity with web frontend technologies
 * Experience tackling model stability, consistency, and edge-case handling in real-world deployments.

## Description

* Applied Research & Engineering: Participate in applied research work focused on ensuring model-level stability and consistency when deploying complex AI models into unpredictable real-world environments.
 * End-to-End Infrastructure Architecture: Design and build highly reliable infrastructure that spans a broad domain; bridging on-robot application software with large-scale off-board computing and cloud operations.
 * Bridge the Gap: Act as the technical bridge between our core AI research teams and our deployment reality, translating complex lab research into robust, field-ready systems.
 * Fleet Management at Scale: Develop the comprehensive systems, data collection pipelines, and tooling necessary to manage, monitor, and support a large-scale robot fleet.
 * Engineering Excellence: Champion rigorous testing, continuous integration, and scalable software practices that ensure our systems can handle the immense complexity of the physical world.