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# Software Data Engineer, Sensing & Connectivity

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $150,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Code Review, Computer Engineering, Continuous Integration, Data Validation, Information Engineering, Data Stores, Software Debugging, Distributed Systems, Job Scheduling, Python (Programming Language), Metadata, Metadata Standards, Simple Data Format, Software Engineering, Model Validation, Generative AI, Information Technology, Build Tools, Machine Learning Operations, Software Version Control, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28115928/Software-Data-Engineer-Sensing-Connectivity-California-Cupertino-7413

## About the Role

A commitment to lean codebases: small, focused, well-tested changes, reuse of existing

components over new ones, and deletion of what is no longer needed.

Strong source code management practices, including code review (giving and receiving) and

disciplined branching.

CI/CD experience: automated testing, reproducible builds, and safe rollouts.

Data engineering experience building and operating pipelines and data stores.

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or 3 years

of equivalent work experience.

3+ years of experience building and operating production software in Python.

Experience debugging distributed systems or data pipelines in production, using logs, metrics,

and task state to find root causes.

Experience designing input validation and configuration contracts for systems where late

failures are costly.

Proven, hands-on use of agentic AI coding tools in day-to-day software development,

including judging where they are effective and where their output needs human verification.

Strong communication skills.

Preferred Qualifications

Experience with model evaluation frameworks or ML infrastructure.

Experience working directly with partner teams or internal customers to define and ship

features.

Experience measuring the domain gap between synthetic and real data, including visual

statistics and non-visual properties such as metadata and label distributions.

Experience with generative image, video, or large language model APIs, including structured

output.

Familiarity with image and video file formats and metadata standards.

Experience with batch compute platforms or job schedulers.

## Description

Our team builds frameworks, services, and tools that accelerate feature development for

engineering teams. We bring a quality-first perspective to end-to-end solutions: dependable

systems that our engineering teams can trust day after day.

In this role, you'll apply your quality engineering expertise to the evaluation workflows that

measure the reliability and accuracy of generative AI systems. You'll integrate our evaluation

platform with enterprise services, build the data pipelines that capture and store evaluation

results, and establish validation frameworks that maintain Apple's standards for quality.

Responsibilities

Develop and support new and existing features in a hands-on capacity.

Build tools and services that support model evaluation at scale.

Build and maintain pipelines for evaluation datasets, run results, and metrics.

Design data models and storage that make evaluation results reproducible and queryable.

Design and maintain validation frameworks that measure the reliability and accuracy of

synthetic data.

Integrate the evaluation platform with enterprise services.

Partner with cross-functional teams to coordinate the complex interdependencies of application

development.

Deploy, monitor, and operate services on production-grade infrastructure.