Software Engineer, Applications
Technologies
Python · Docker · Kubernetes · AWS · GCP · Azure · Unity · C#
About Dyna Robotics
Builds self-improving robot foundation models and low-cost robotic systems that automate repetitive physical tasks for brick-and-mortar businesses.
Series A
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
site becoming a one-off engineering project. Your job is to turn that messy, high-friction reality into durable engineering infrastructure. You’ll partner closely with our Operations team rather than selling to customers, with one goal: make deployment N+1 faster and more reliable than deployment N. This is a cross-domain role spanning applied research on model stability, on-robot software, and the off-board systems and tooling that keep a fleet running. 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. Embed with the Ops team to understand field reality, identify which failures matter most, and turn manual workflows into reliable software. Standardize how new
More from the job description
Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors. The Role Many believe that as long as a robot is “smart” enough, deploying it is easy. At Dyna, we know the truth: the real world is wild, unpredictable, and unforgiving. Landing breakthrough AI research into the field takes deep investment in infrastructure and applied research. As we scale the number of deployed sites, the bottleneck is no longer whether a robot can perform a task once. It’s whether we can deploy, monitor, debug, and improve robots across many environments without every site becoming a one-off engineering project. Your job is to turn that messy, high-friction reality into durable engineering infrastructure. You’ll partner closely with our Operations team rather than selling to customers, with one goal: make deployment N+1 faster and more reliable than deployment N. This is a cross-domain role spanning applied research on model stability, on-robot software, and the off-board systems and tooling that keep a fleet running. What You Will Do Build the deployment [... source excerpt omitted ...] ardware engineers, and platform teams. Comfort with ambiguity, a deep interest in operational pain, and motivation to build systems that compound. You’re excited to work close to production robotics and turn heroic on-site effort into durable engineering. Demonstrated passion for the intersection of AI research and wide-scale infrastructure, specifically for robotics or autonomous systems. Bonus Points For 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 wi
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