Applied
Senior Software Engineer - Data Engine
Sunnyvale. Posted a month ago
The role
You will build and optimize data pipelines and a cloud data engine to train perception models. This includes managing edge applications and building MLOps tooling for stakeholders.
What you will do
- Construct optimized data pipelines to run ML models
- Evolve data engine architecture to scale labels and accelerate ML iteration cycles
- Integrate foundation models to automate labeling, quality assurance, and data discovery
- Leverage software-in-the-loop and hardware-in-the-loop testing
- Interact with the DoD customer to understand use cases and triage needs during field events
Required qualifications
- 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
- A hunger to learn and grow into a position of ownership and impact on a new product team
- U.S. citizenship (legally required)
- Eligibility to obtain a security clearance
Nice to have
- Full-stack experience React, TypeScript Python, Golang or similar
- Experience with Docker, Kubernetes, Opensearch and Postgres
- Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
- Background in autonomous driving or robotics perception
- Experience with active learning, auto-labeling, or human-in-the-loop ML systems
Benefits
- Base salary
- Equity in the form of options and/or restricted stock units
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
Before you apply
- U.S. citizenship (legally required)
- Eligibility to obtain a security clearance
About the company
Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.