Software Engineer, Applications

The role

You will work across applied research on model stability, on-robot software, and off-board systems and tooling. You will build deployment platforms and infrastructure to bridge AI research with real-world robot deployment.

What you will do

• Build the deployment platform.
• Design and ship internal tools and systems for site bring-up, robot configuration, fleet monitoring, remote diagnostics, data capture, failure triage, deployment checklists, and operational dashboards
• Partner with Operations to turn manual workflows into reliable software.
• Standardize how new sites are launched.
• Build pipelines that route useful data and failure cases from the fleet back to research.
• Participate in applied research focused on model-level stability and consistency.
• Design and build infrastructure bridging on-robot application software with off-board computing and cloud operations.
• Act as the technical bridge between core AI research teams and deployment reality.
• Champion rigorous testing, continuous integration, and scalable software practices.

Required qualifications

• Bachelor’s degree or higher in Computer Science, Computer Engineering, Robotics, or a related field.
• Deep, first-principles understanding of systems architecture, software design patterns, and application-level development.
• At least 3 years of professional experience as a versatile software engineer.
• Strong capabilities in both backend systems and broad application-level software.
• Proficient in the Python ecosystem.
• Proven experience building robust, scalable software that spans multiple domains.
• 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.
• Comfort with ambiguity, interest in operational pain, and motivation to build systems that compound.
• Demonstrated passion for the intersection of AI research and wide-scale infrastructure, specifically for robotics or autonomous systems.

Nice to have

• Experience tackling model stability, consistency, and edge-case handling in real-world deployments.
• Prior work building internal tooling for fleet operations, hardware deployments, or large-scale field systems.
• Familiarity with Unity, C#, and VR development.
• Familiarity with web frontend technologies.

About the company

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model. The team comes from Google DeepMind, Meta, and Cruise.