Director of Engineering-- Data Infrastructure

• Own pipeline reliability, throughput, and quality SLAs end-to-end
• Own cloud infrastructure spend - forecast, monitor, and continuously optimize cost as data volume scales
• Build and lead the engineering and operations team as the pipeline grows
• Define and manage how new pipeline components become stable production systems
• Maintain a clear view of technical debt and a plan to address it
• Establish engineering practices - code standards, review processes, incident response, documentation
• Translate data capture roadmaps into capacity plans and delivery schedules
• Maintain visibility into pipeline health and cost for the team and leadership
• Coordinate with capture operations ahead of new data collection campaigns

• 8+ years in engineering, including 3+ years in a leadership role - ideally in cloud services, data infrastructure, or large-scale platform engineering
• Track record running high-throughput, high-availability production systems on AWS, GCP, or Azure
• Demonstrated ownership of cloud cost - you've managed infrastructure budgets and driven down unit economics at scale
• Strong operational instincts - you define SLAs, instrument systems proactively, and treat instability as an engineering problem to be solved
• Solid Python fundamentals and comfort extending an existing codebase
• Experience building and managing small, high-ownership engineering teams under delivery pressure
• Strong planning and communication skills - comfortable reporting status and cost clearly to the CTO
• Nice to have: experience with video or multimodal data at scale (depth, point clouds, sensor streams)
• Nice to have: experience with annotation platforms or human-in-the-loop tooling

DreamVu builds data infrastructure for Physical AI - capturing, processing, and annotating real-world multimodal data used to train humanoid robots and embodied AI systems.