Senior Software Engineer, Data & AI Infrastructure

Dexmate; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Dexmate is hiring a Software Engineer to build the infrastructure powering data, models, and AI runtime on our Physical AI platform. You will move models and robot data from experimentation into scalable, reliable production systems.

You will contribute to data ingestion, processing, storage, dataset lifecycle management, and the model serving pipeline, while improving reliability and cost efficiency across systems.

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 driving, multimodal data, or AI infrastructure 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

Software engineering

Data infrastructure

Distributed systems

ML infrastructure

Cloud infrastructure

Job description

Dexmate is hiring a Software Engineer to build the infrastructure powering data, models, and AI runtime on our Physical AI platform. You will move models and robot data from experimentation into scalable, reliable production systems.

You will contribute to data ingestion, processing, storage, dataset lifecycle management, and the model serving pipeline, while improving reliability and cost efficiency across systems.