Senior Data Engineer - Edge & Cloud ML Pipelines

Decisive Point; Sunnyvale (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Applied Intuition in Sunnyvale seeks a data engineer to own the edge perception data pipeline and the cloud data engine. You will optimize models for edge and cloud deployment, build scalable data workflows, and contribute to MLOps tooling for visibility across stakeholders.

This role emphasizes hands-on work with ML infrastructure, microservices, and modern data systems, with opportunities to influence product direction on the Axion Data team.

Qualifications

• 5+ years of relevant work experience.
• Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs.
• Created or worked on microservices and/or databases for data-oriented software.
• A hunger to learn and grow into a position of ownership and impact on a new product team.
• U.S. citizenship and eligibility to obtain a security clearance.

Responsibilities

• Construct optimized data pipelines to run ML models
• Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
• Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
• Leverage software-in-the-loop and hardware-in-the-loop testing
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience

Skills

5+ years of relevant work experience

ML infrastructure familiarity

Microservices and databases

U.S. citizenship

Security clearance eligibility

Tools

Docker

Kubernetes

OpenSearch

PostgreSQL

Job description

Applied Intuition in Sunnyvale seeks a data engineer to own the edge perception data pipeline and the cloud data engine. You will optimize models for edge and cloud deployment, build scalable data workflows, and contribute to MLOps tooling for visibility across stakeholders.

This role emphasizes hands-on work with ML infrastructure, microservices, and modern data systems, with opportunities to influence product direction on the Axion Data team.