Builds and optimizes edge applications and cloud data-engine infrastructure for perception models — scaling data pipelines and labeling workflows, integrating LLMs/VLMs and multimodal models, and using simulation testing while collaborating with DoD customers. Core stack: ML infrastructure, large-scale GPU jobs, microservices, and databases.
You will build and optimize edge applications and cloud data-engine infrastructure for perception models. You will scale data pipelines and labeling workflows, integrate foundation models, use simulation testing, and work with DoD customers to address field-event requirements and triage needs.
Responsibilities
Construct optimized data pipelines for ML models
Scale the data-engine architecture, labels, and ML iteration cycles
Integrate LLMs, VLMs, and multimodal models for labeling, quality assurance, and data discovery
Use software-in-the-loop and hardware-in-the-loop testing
Work with DoD customers to understand use cases, requirements, and triage needs
Requirements
5+ years of relevant work experience
Bachelor's degree in computer science or a relevant field
Knowledge of ML infrastructure, data-centric AI, and large-scale GPU jobs
Experience with microservices or databases for data-oriented software
U.S. citizenship and eligibility to obtain a security clearance