Software Engineer, Data Infra

The role

You will architect interactive systems that bridge raw multimodal sensor streams and production-ready ML models. You will design infrastructure to visualize model performance, automate data labeling, and manage human-in-the-loop workflows.

What you will do

• Architect engines and interfaces that unify raw robot logs, video, and 3D sensor data.
• Enable human-in-the-loop workflows from episode annotation to analyzing manual interventions.
• Design and implement algorithms to extract structured signals from raw captures.
• Build high-performance tools to compare model-driven motion against human-captured data.
• Build and operate distributed data pipelines for the ingestion, transformation, and validation of multimodal data.
• Develop visualization tools to interpret complex model behaviors and sensor data.
• Collaborate across ML, Robotics, and Product teams.

Required qualifications

• 5+ years of professional software experience
• Proficiency in Python (NumPy, Pandas)
• Solid understanding of modern backend architectures
• Strong skills in algorithms and geometric calculations (e.g., coordinate transformations, 3D spatial reasoning)
• Hands-on experience with relational and NoSQL databases (PostgreSQL, Redis)
• Hands-on experience with cloud-native infrastructure (GCP/AWS)
• Ability to debug real-world data issues independently

Nice to have

• Experience with React/TypeScript
• 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

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.