Senior Product Engineer, Sciences
Core
Building software and data products for scientific work, bridging real-world data, simulation, and deployed hardware for robotics and embodied AI labs.
Role type
Senior full-stack product engineer (scientific domain)
Builds
Data capture, labeling, and hardware-enabled workflows for training and validating humanoid and embodied AI systems
Domain
Robotics, Embodied AI, Scientific Data Infrastructure
Deliverable
production ML models
Required skills
Full-stack engineering, Data modeling, Scientific fluency, Product judgment, Production debugging, Workflow design
Preferred skills
Scientific software development, Instrument integrations, AI-assisted annotation tools, Early-stage startup experience
Technologies
Frontend frameworks, Backend services, Data processing pipelines, ML integration tools
Responsibilities
Investigate scientific workflows and define product scope, Design and implement interfaces and backend services, Build reliable data processing and validation workflows, Develop tools for reviewing and correcting scientific data, Collaborate with ML specialists on QA and automation, Test, deploy, monitor, and debug production software
