Chief Technology Officer, CTO

• Proven 0 1 technical leadership building data-intensive systems and shipping products in early-stage environments.
• Strong systems thinking across software + data + operations; ability to scale reliability without linear headcount growth.
• Comfortable reasoning about robotics/physical AI data ecosystems (multimodal logs, synchronization, metadata, dataset integrity).
• Excellent judgment around tradeoffs, technical strategy, and team-building.
• Strong written and verbal communication; able to lead a remote/hybrid team effectively.

Nice to have

• Experience with robotics ML / physical AI workflows and evaluation (VLAs/VLMs, imitation learning, sim-to-real).
• Familiarity with ROS/ROS2 or similar robotics data ecosystems.
• Experience with enterprise customers and technical solutioning.

Working style & expectations

• Remote/hybrid leadership with high ownership and high communication expectations.
• Willingness to engage deeply across functions; the role is hands-on in early stages.

Miraxis is building the rights-cleared data factory for robotics and physical AI. The CTO role exists to set the technical vision across the full stack-from capture standards and pipeline architecture to product reliability and evaluation-so Miraxis can ship high-quality datasets repeatedly and evolve toward defensible platform capabilities.

Miraxis was founded by Artem Sokolov, who is also the Founder and CEO of Humanoid AI. https://thehumanoid.ai/te%d0%b0m/

What you’ll do (Responsibilities)

• Own end-to-end technical vision: how capture, QA, transformation, packaging, and evaluation fit together into a cohesive platform.
• Set architecture and standards for multimodal robotics data systems (video + sensors + proprioception): schemas, validation, versioning, and provenance.
• Define and drive the roadmap for the data factory platform: ingestion adapters, transformation layer, QA orchestration, and delivery automation.
• Build the evaluation and scoring capabilities that connect dataset quality to downstream model performance (acceptance gates, benchmarks, and customer-facing reporting).
• Lead engineering org build-out: hiring plans, team structure, and culture that supports fast iteration with high reliability.
• Partner with Product, Ops/Delivery, and Research to translate customer needs into shipped capabilities and to make tradeoffs explicit.
• Represent Miraxis technically with partners and customers (R&D labs, robotics companies, vendors), establishing credibility and trust.