Job Title

We’re a Bay Area–headquartered robotics startup building the infrastructure for machines to learn from large-scale real-world data. Our team in California is handling hardware and field operations. We’re now hiring afounding engineerin India to lead data infrastructure, model pipelines, and internal tooling from the ground up.What You’ll OwnArchitect and build the full data stack, from ingest to training-ready datasets Automate calibration, sync, and quality checks across large, multi-sensor data Stand up self-supervised learning workflows and model training infra Define data schemas, documentation, versioning, and release processes Hire and lead a small engineering team as the company scales Own cloud cost optimization, reliability, and security best practices Work closely with the founding team to shape product and technical directionYou’re a Strong Fit If YouHave 6 to 10+ years of experience in data/ML infrastructure, robotics, or real-world perception systems Have built or scaled systems handling 50TB+ of video/sensor data Are hands-on with Python, ROS 2, parquet or Delta, Kubernetes, and modern MLOps tooling Understand the basics of calibration, time sync, sensor fusion Have led or mentored engineers and are ready to take full ownership Communicate clearly and thrive in fast-paced, ambiguity-rich environments Are looking for high ownership, high impact, and long-term equity upsideWhy Join UsBe a founding team member solving a real, hard problem in robotics and machine learning Work directly with experienced engineers and founders from top startups and labs Get meaningful equity and a competitive salary Join a globally distributed team building from first principles Quarterly travel to our Bay Area HQ for integration and planningHow to Apply Email us : A short intro and what you’ve built that you're proud of Links to code, papers, systems, or anything real Why you’re excited to work on this kind of problem This is for someone who wants to own their work end-to-end, build real systems, and help shape the future of robotics. If that’s you, let’s talk.