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Principal Digital Architect – Robotics Platform
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AI Summary
Build and maintain the foundational ML platform for Agility Robotics' humanoid robotics, focusing on data processing, model training, evaluation, and deployment. Collaborate with AI researchers and robotics engineers to create scalable, reproducible ML workflows. Requires 5+ years of software engineering experience with 2+ years in ML infrastructure/data platforms.
Key Highlights
Architect and build foundational ML infrastructure for humanoid robotics
Orchestrate end-to-end AI flywheel (data, training, evaluation, deployment)
Collaborate with AI researchers and robotics engineers to develop scalable ML workflows
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Key Responsibilities
Design and implement ML platform for data processing, training, evaluation, and deployment
Develop workflows across cloud compute, Kubernetes, and continuous automation
Build core infrastructure components like model registry, feature store, and experiment tracking tooling
Own developer-facing APIs and CLI tools for ML workflows
Implement CI/CD lifecycle for continuous retraining, automated testing, and model delivery
Collaborate with AI researchers and robotics engineers to translate requirements into scalable solutions
Apply MLOps best practices: reproducibility, lineage, rollback, monitoring, and governance
Mentor junior engineers and influence the broader cloud platform organization's roadmap
Technical Skills Required
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Benefits & Perks
401(k) Plan with 6% company match
Company stock options
100% company-paid medical, dental, vision, and disability insurance
Flexible/unlimited PTO and 12 company holidays (exempt employees)
Generous parental leave programs
Professional development and tuition reimbursement programs
Relocation assistance for eligible roles
Annual discretionary bonus for eligible roles
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Nice to Have
Experience with robotics, autonomous vehicles, drones, or embedded ML
Contributions to open-source ML infrastructure or MLOps tooling
Job Description
Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers, handling physically demanding tasks. Join the team building the machine learning platform to power fleet-scale humanoid robotics as a Senior Engineer on the ML Infrastructure and Platform group.
Key Responsibilities
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