This role pays more than
80%
of similar roles. Most pay
$149,500–$204,987
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$177k
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
3553 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2740 roles with salary data.
As a Senior Software Engineer, Triage Services, you will join the System Triage Services team to build mission-critical applications that detect, analyze, and classify low-level software crashes across all Apple platforms. You will architect and lead the delivery of an end-to-end agentic triage platform, including agent orchestration, tool integration, data pipelines, and production infrastructure for AI/ML workloads. Your daily work involves designing evaluation strategies for production agents, building observability tools to detect drift, and managing the full lifecycle of hardened services. You will utilize Python, RAG architectures, embedding generation, vector databases, and advanced system design to solve complex problems in reliability and scale. This role focuses on creating automated triage solutions as a first line of defense for Core OS technologies, requiring expertise in distributed systems, LLM-based tools, and kernel or OS-level debugging.
What does a Software Engineer earn in California?
Median $214000 from 869 postings across 70 companies.
Architect and lead the delivery of end-to-end agentic triage platforms including orchestration, data pipelines, and tool integration.
Define evaluation strategies for production agents using offline benchmarks, golden datasets, and drift detection.
Build observability systems to identify failures and low-confidence routing decisions before they reach engineers.
Manage the full lifecycle of production agents from initial prototype to hardened service with operational excellence.
Identify high-leverage automation opportunities and drive adoption across Core OS, Hardware, and Silicon engineering teams.
Mentor engineers in agent design, evaluation methodologies, and distributed systems architecture.
Translate ambiguous triage problems into clear system designs while managing build-versus-reuse and reliability tradeoffs.
What we're looking for
6+ years of software engineering experience building and operating production distributed systems or data platforms at scale.
Expert-level Python skills and strong system design skills with a track record of owning architecture for services other teams depend on.
2+ years building and shipping LLM-based or agentic systems to production, including tool calling, orchestration, and guardrails.
Hands-on experience designing evaluation frameworks for ML/LLM systems, such as offline benchmarks, regression testing, drift detection, and confidence scoring.
Deep working knowledge of RAG architectures, embedding generation, vector databases, and data preparation for agentic workflows.
Proven technical leadership in driving multi-quarter projects through ambiguity, influencing across organizational boundaries, and mentoring engineers.
BS in Computer Science or a related field, or equivalent practical experience.
MS or PhD in Computer Science, Machine Learning, or a related field (preferred); background in kernel/OS debugging (preferred).