Senior AI Infra Engineer for Data, Models & Robotics

Dexmate Inc.

Fremont (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Dexmate Inc. is building the foundation for physical AI — a unified platform that combines hardware with an AI OS to simplify robotics deployment.

We are seeking a Software Engineer to scale data, models, and AI runtime across Dexmate’s platform to move experiments into scalable production systems. You will build scalable data ingestion, processing, storage, and dataset lifecycle management, plus model infrastructure for training, evaluation, deployment, and serving, while improving reliability,

Qualifications

  • 5+ years of software, data infrastructure, ML infrastructure, or distributed systems experience.
  • 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 systems, multimodal data, or AI infra experience is a plus.

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.

Skills

5+ years experience
Distributed systems
Cloud infrastructure

Tools

Cloud platforms
Containers
Orchestration

Job description

Dexmate Inc. is building the foundation for physical AI — a unified platform that combines hardware with an AI OS to simplify robotics deployment.

We are seeking a Software Engineer to scale data, models, and AI runtime across Dexmate’s platform to move experiments into scalable production systems. You will build scalable data ingestion, processing, storage, and dataset lifecycle management, plus model infrastructure for training, evaluation, deployment, and serving, while improving reliability,

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