This role pays more than
95%
of similar roles. Most pay
$162,000–$219,125
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
2321 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1891 roles with salary data.
As a Sr. Software Development Engineer In Test - Siri AI Quality, you will join the Siri AI Client Platforms Quality Engineering team to ensure high-quality software and models for conversational assistant technologies. You will manage end-to-end automation pipelines, analyze large-scale test datasets to identify trends, and build innovative frameworks to accelerate evaluation cycles. Your work involves measuring qualitative experiences and natural interactions rather than simple pass/fail metrics to improve Siri's AI features. The role requires proficiency in Swift, Python, and Shell scripting, along with experience using Git, Jenkins, and visualization tools like Tableau, Grafana, Superset, or Splunk. You will collaborate with product and machine learning teams to solve complex technical challenges within the natural language and artificial intelligence domain, specifically focusing on large-scale systems and the evolution of the underlying AI stack.
What does a Software Development Engineer in Test earn?
Median $202800 from 34 postings across 9 companies.
Own end-to-end automation pipelines including creation, configuration, monitoring, evaluation, and triage across multiple platforms.
Analyze large-scale test datasets to identify trends and provide actionable insights for Siri's AI features.
Develop new strategies, frameworks, and tooling to accelerate evaluation cycles and improve quality engineering efficiency.
Measure qualitative user experiences and interaction naturalness beyond simple pass/fail metrics.
Proactively identify, escalate, and track critical issues impacting automation evaluation or the product experience.
Partner with program management to resolve technical issues while maintaining strict product timelines.
Design and build dashboards and analytics solutions to visualize KPIs and monitor data quality.
What we're looking for
BS/MS in Computer Science, Engineering, or a related field.
5+ years of experience designing, implementing, and optimizing large-scale data-driven platforms, frameworks, APIs, services, and tools.
Thorough understanding of system architecture and large-scale system design.
Strong programming skills with Swift, Python, and Shell scripting languages.
Experience building dashboards and analytics solutions using tools like Tableau, Grafana, Superset, or Splunk to visualize KPIs and monitor data quality.
Proficiency with software revision control (e.g., Git) and CI/CD systems (e.g., Jenkins).
Demonstrated success collaborating cross-functionally with engineering, machine learning, and data science teams.
Deep understanding of large scale data validation platforms with focus on privacy (preferred); experience building tooling solutions with Claude tools (preferred).