ashby
Data Infrastructure Engineer
Mind Robotics
Palo Alto, USA
Full-time
Junior · 2+ years experience
Onsite
Discovered 1 weeks ago
airflowflinkpythonspark
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
airflowflinkpython
Key Skills for This Role
airflowflinkpythonspark
Full Job Posting
About Mind:
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
About the team and the role:
Mind Robotics is building robots that learn from real-world experience. That starts with a data engine: the pipelines and infrastructure that turn raw, messy, multimodal sensor streams from robots and human demonstrations into high-quality, well-curated training data at scale.
As a Data Infrastructure Engineer, you'll build and operate the pipelines that turn raw sensor and demonstration data into training-ready datasets — from ingestion off real robots and capture devices, through processing and quality filtering, to the dataloaders that feed model training. The systems work today; your job is to build within the architecture, take ownership of specific pipelines and services, and help harden the system as it scales.
Responsibilities:
- Build and scale ingestion pipelines for high-volume, high-dimensional sensor data.
- Build and maintain data quality and curation systems, including both manual review workflows and auto-labeling.
- Contribute to storage and retrieval design for large-scale multimodal datasets, including format choices and versioning/lineage.
- Build and operate distributed processing infrastructure (batch and streaming).
- Debug production issues in live data pipelines — data corruption, schema drift, backpressure, and failures that only show up at scale.
- Work with modeling/research partners to understand data quality, format, and structure needs, and translate them into working pipelines.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Mind Robotics
Tech Lead, Software Infrastructure and Fleet Management
Palo Alto, USA
LeadFull-time
Discovered 1 weeks agoView →
Mechanical Design Engineer, Wearables
Palo Alto, USA
Discovered YesterdayFull-time
Tech Lead, Robotics Runtime & Middleware
Palo Alto, USA
Discovered 1 weeks agoFull-time
IT Operations Lead
Palo Alto, USA
Discovered 1 weeks agoFull-time
CAE Engineer
Palo Alto, USA
Discovered 1 weeks agoFull-time
System Integration Engineer
Palo Alto, USA
Discovered 1 weeks agoFull-time
Tech Lead, Software Infrastructure and Fleet Management
Palo Alto, USA
Discovered 1 weeks agoFull-time
Mechanical Design Engineer, Tactile Sensing
Palo Alto, USA
Discovered 1 weeks agoFull-time
Thermal Design Engineer
Palo Alto, USA
Discovered 1 weeks agoFull-time
