Software Engineer, Data Infra
Technologies
Python · NumPy · Pandas · React · TypeScript · PostgreSQL · Redis · GCP · AWS · Kubernetes · Airflow · Kubeflow
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.
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Internal deployment & tooling · Evidence for this classification:
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 As a Software Engineer, Data Infra you are the architect of the "Laboratory" where Dyna’s robotic intelligence is refined. You won't just move data; you will build the interactive systems that bridge the gap between raw multimodal sensor streams and production-ready ML models. This is a high-impact, hands-on role where you will design the infrastructure to visualize model performance, automate data labeling, and manage the "human-in-the-loop" workflows - such as teleoperation and
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 As a Software Engineer, Data Infra you are the architect of the "Laboratory" where Dyna’s robotic intelligence is refined. You won't just move data; you will build the interactive systems that bridge the gap between raw multimodal sensor streams and production-ready ML models. This is a high-impact, hands-on role where you will design the infrastructure to visualize model performance, automate data labeling, and manage the "human-in-the-loop" workflows - such as teleoperation and skill capture - that are critical to our scaling. If you enjoy solving complex geometric problems and building the low-friction tools that empower ML researchers, you’ll thrive here. What You’ll Do Interactive Data Systems: Architect the engines and interfaces that unify raw robot logs, video, and 3D sensor data. You will enable seamless "human-in-the-loop" workflows, from episode annotation to analyzing manual interventions. Signal Extraction & Geometry: Design and implement algorithms to ex [... source excerpt omitted ...] interpret, reducing the time from "data collected" to "model trained." Startup Fluidity: Collaborate across ML, Robotics, and Product teams. As an early member of the data team, you will help define the roadmap where no blueprint yet exists. What You’ll Bring The Experience: 5+ years of professional software experience, ideally with a focus on data-intensive or "human-in-the-loop" platforms. Technical Stack: Proficiency in Python (NumPy, Pandas) and a solid understanding of modern backend architectures. Experience with React/TypeScript is a major plus for building internal observability tools. Mathematical Core: Strong skills in algorithms and geometric calculations (e.g.,
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