Senior Robotics Data & AI Infrastructure Engineer

Dexmate

Fremont (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

Dexmate in California seeks a Software Engineer to build the infrastructure that powers data, models, and AI runtime across Dexmate's Physical AI platform. You will move models and robot data from experimentation into scalable, reliable production systems.

You will 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

Qualifications

  • 5+ years in software, data or ML infrastructure.
  • Experience with large-scale data pipelines and distributed computing.
  • Familiar with cloud infrastructure, containers and orchestration.
  • Knowledge of model training, inference and evaluation workflows.

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

Software engineering
Data infrastructure
ML infrastructure
Distributed systems
Data pipelines
Model serving
Cloud infrastructure
Containers
Orchestration
Model training

Job description

Dexmate in California seeks a Software Engineer to build the infrastructure that powers data, models, and AI runtime across Dexmate's Physical AI platform. You will move models and robot data from experimentation into scalable, reliable production systems.

You will 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

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