Mind Robotics builds intelligent, broadly capable robots for industrial deployment in high-impact environments. Backed by Accel, Kleiner Perkins and a16z.
About the role
As a Software Engineer working on the data platform, you'll be one of the founding engineers on the team that owns our application layer, reporting to our Head of Application Engineering. The systems work today; your job is to help harden and productionize them for scale — ingesting from a growing number of sources and field sites, and turning raw captures into training-ready data faster and at higher quality.
What they're looking for
- 2+ years of software engineering experience building production systems
- Strong programming fundamentals and comfort working across the stack — services, data pipelines, and applied ML tooling
- Experience with at least one of: real-time or large-scale data pipelines, ML data workflows, computer vision, or data infrastructure
- Bias for ownership: you've taken features or systems from prototype to production and supported them in the field
- Clear communication and close collaboration with product, research, and annotation/operations partners
- Hands-on experience with sensor data (video, depth, IMU, force/torque) and the infrastructure to process, validate, and label it at scale is a plus
More about this role
Mind Robotics is building robots that learn from real-world experience, and the data platform is what turns raw experience into training signal. Every day, sensor data flows in from multiple sources — arriving in different formats, at different volumes, and with different quality bars. This team owns what happens next: ingesting that data reliably, validating and curating it for quality and diversity, powering annotation, and building the automated methods that will increasingly do that labeling work.
As a Software Engineer working on the data platform, you'll be one of the founding engineers on the team that owns our application layer, reporting to our Head of Application Engineering. The systems work today; your job is to help harden and productionize them for scale — ingesting from a growing number of sources and field sites, and turning raw captures into training-ready data faster and at higher quality. This is early, hands-on, 0-to-1 engineering: you'll build the pipelines and tooling that determine what data actually makes it into our models, and see the effect on robot behavior.
Build data ingestion pipelines from multiple sources, including our own field capture and teleop...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Founding team roles · San Francisco Bay Area