
Senior Software Engineer, Data & Model
Required skills
- data ingestion
- data processing
- data storage
- dataset lifecycle management
- model training
- model evaluation
- model versioning
- model deployment
- model serving
- ML platforms
Nice to have
- Robotics
- autonomous driving
- multimodal data
- AI infrastructure
Role summary
Dexmate is seeking a Senior Software Engineer to build the core infrastructure for their Physical AI platform, focusing on data, models, and AI runtime. This role involves developing scalable systems for robot data ingestion, processing, storage, and dataset lifecycle management, as well as infrastructure for model training, evaluation, versioning, deployment, and serving. The engineer will also build agent runtime systems and improve the overall reliability, scalability, observability, and cost efficiency of these data and model systems. The ideal candidate has 5+ years of experience in software, data infrastructure, ML infrastructure, or distributed systems, with strong experience in large-scale data pipelines, distributed computing, model serving, or ML platforms, and familiarity with cloud infrastructure, containers, and orchestration.
About Dexmate
Dexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.
The Role
We are looking for a Software Engineer to build the infrastructure that powers data, models, and AI runtime across Dexmate’s Physical AI platform. You will help move models and robot data from experimentation into scalable, reliable production systems.
Responsibilities
Build scalable infrastructure for robot data ingestion, processing, storage, and dataset lifecycle management.
Develop model infrastructure for training, evaluation, versioning, deployment, and serving.
Build agent runtime systems including execution, orchestration, memory, and model integration.
Develop model evaluation and experimentation infrastructure for quality, regression, and performance measurement.
Improve reliability, scalability, observability, and cost efficiency across data and model systems.
Minimum Qualifications
5+ years of software, data infrastructure, ML infrastructure, or distributed systems experience.
Strong experience with large-scale data pipelines, distributed computing, model serving, or ML platforms.
Experience with cloud infrastructure, storage, containers, and orchestration.
Familiarity with model training, inference, evaluation, and experimentation workflows.
Robotics, autonomous driving, multimodal data, or AI infrastructure experience is a plus.
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