Senior Software Engineer, Data & Model
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Before you apply
SalaryNo pay range posted
LocationFremont Office
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size51–200 people
PostedAug 13, 2026 · 2mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Aug 13, 202667% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
React
AWS
PostgreSQL
ML infrastructure
cloud infrastructure
distributed systems
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
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Build scalable infrastructure for robot data ingestion, processing, storage, and dataset lifecycle management.
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Develop model infrastructure for training, evaluation, versioning, deployment, and serving.
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Build agent runtime systems including execution, orchestration, memory, and model integration.
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Develop model evaluation and experimentation infrastructure for quality, regression, and performance measurement.
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Improve reliability, scalability, observability, and cost efficiency across data and model systems.
Minimum Qualifications
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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.