Senior Software Engineer - Data Engine
Applied Intuition· Defense
Sunnyvale$200k - $275kFull-timePosted 3mo ago
About the role
Senior Software Engineer role on the Axion Data team building the data engine to train perception models, optimizing edge and cloud pipelines, and developing MLOps tooling; involves edge perception stacks, cloud data ingestion, and interaction with DoD customers.
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
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) and eligibility to obtain a security clearance
Skills
Required:Data pipeline design and optimizationMLOps toolingEdge computing for MLMicroservices and databasesGPU-based computation
Nice to have:Foundation models (LLMs/VLMs) integration
Benefits
- base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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