Applied Intuition
Software Engineer - Data Pipeline
$200K–$275K
Sunnyvale · On-site · Full-time · Posted Sep 21, 2026
- Experience
- 5+ years of relevant work experience.
- Education
- Bachelor Degree in Computer Science or relevant field.
- Visa sponsorship
- U.S. citizenship is legally required; must be eligible to obtain a security clearance.
About the job
Build and scale data pipelines and data-engine systems that support machine-learning models, labeling, and data discovery, including foundation-model integrations.
What you'll do
- Construct optimized data pipelines for ML models and evolve data-engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration.
- Integrate foundation models to automate and improve 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 and requirements and triage needs during field events.
What they ask for
- 5+ years of relevant work experience.
- Bachelor Degree in Computer Science or relevant field.
- 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; U.S. citizenship and eligibility to obtain a security clearance.
Nice to have
- Full-stack experience with React, TypeScript, Python, Golang or similar; experience with Docker, Kubernetes, Opensearch, and Postgres.
- Foundation-model experience for data automation, autonomous driving or robotics perception, or active learning, auto-labeling, or human-in-the-loop ML systems.
Pay
$200K – $275K USD base salary; offers equity (amount not stated)
Tools
ML models, GPUs, microservices, databases, React, TypeScript, Python, Golang
AI focus
Use LLMs, VLMs, and multimodal foundation models to automate and enhance labeling, quality assurance, and data discovery.
Model-written summary · the original posting is authoritative