Dyna Robotics
Software Engineer, Data Infra
Redwood City, CA · Senior
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About the role
- As a Software Engineer, Data Infra you are the architect of the "Laboratory" where Dyna's robotic intelligence is refined.
Responsibilities
- Evaluation & Benchmarking: Build high-performance tools to compare model-driven motion against human-captured data, helping the team quantify model progress across diverse tasks.
- Scalable ML Pipelines: Build and operate distributed data pipelines (using Python, GCP/AWS, and Kubernetes) for the ingestion, transformation, and validation of terabytes of multimodal data.
- Observability & Debugging: Develop visualization tools that make complex model behaviors and sensor data easy to 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.
Requirements
- Strong mathematical intuition is required to turn pixels and point clouds into ground-truth insights.
- Data Mastery: Hands-on experience with relational and NoSQL databases (PostgreSQL, Redis) and cloud-native infrastructure (GCP/AWS).
Nice to have
- Experience with multimodal data (video, LiDAR, time-series) in robotics or autonomous systems.
- Familiarity with Airflow, Kubeflow, or similar distributed batch processing systems.
- Experience with experiment tracking frameworks like Weights & Biases or MLFlow.
- Experience as an early hire in a fast-paced startup environment.
- 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.
Company info
- Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world.
- We are an equal opportunity employer committed to technical rigor and mutual respect.
This listing is sourced directly from Dyna Robotics's careers page and normalized into a canonical job model.