Role at a glance
- Salary
- Not Disclosed
- Location
- Cupertino, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
This Software Engineer role on the Triage Intelligence and Debug Engineering team investigates crashes and kernel panics across Apple's OS stack to identify root causes. The work translates triage findings into automation and intelligent tooling, while collaborating with Software, Hardware, and Silicon teams to resolve issues and validate platform stability.
What You'll Do
- Analyze crash logs, kernel panics, and core dumps to isolate root causes.
- Collaborate with Software, Hardware, and Silicon teams to propose fixes, close coverage gaps, and drive issues to resolution.
- Encode triage logic into automation pipelines so future instances can be classified and escalated without manual intervention.
- Apply ML and AI techniques, including crash clustering, anomaly detection, and pattern recognition, to improve triage pipelines.
- Build debug tooling, scripts, and CI/CD integrations to surface OS-level signals and validate platform stability at scale.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Working knowledge of C and/or Swift for debug tooling or system-level development; exposure to automation frameworks, CI/CD pipelines, or scalable test systems; foundational understanding of OS internals; ability to analyze crash reports and kernel panics; hands-on experience with LLDB, GDB, or Instruments; proficiency in Python for scripting, automation, and test infrastructure.
Required
- Working knowledge of C and/or Swift for debug tooling or system-level development
- Exposure to automation frameworks, CI/CD pipelines, or scalable test systems
- Foundational understanding of OS internals, including process and thread lifecycle, virtual memory, scheduling, synchronization, and...
- Ability to read and reason through crash reports and kernel panics, including backtraces, register state, and basic memory analysis
- Hands-on experience with debugging tools such as LLDB, GDB, or Instruments
- Proficiency in Python for scripting, automation, and test infrastructure
Preferred
- Experience applying ML or AI techniques to systems problems, such as crash clustering, log anomaly detection, failure classification, or...
- Familiarity with LLMs or generative AI tooling in an engineering context, such as prompt engineering, RAG pipelines, or AI-assisted...
- Prior coursework or project experience in OS internals, systems programming, or low-level debugging
- Familiarity with Apple platform internals, including XNU kernel, Darwin subsystems, IOKit, libdispatch, or dyld
- Contributions to automation frameworks or developer tooling that improved engineering productivity
- Experience or interest in collaborating across silicon, firmware, or platform systems teams
- Enthusiasm for building tools and systems that empower other engineers
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
The Triage Intelligence and Debug Engineering team operates at the deepest layers of Apple's software stack, with a mandate that spans the entire product ecosystem. The work we do directly shapes the reliability of over 2 billion active Apple devices — every crash triaged, every panic root-caused, and every automated pipeline we build contributes to the OS stability that hundreds of millions of people depend on every day. We partner closely with engineering teams across Apple to drive that reliability end-to-end, influencing how the entire organization detects, understands, and resolves systemic failures.
Description
We are looking for a curious and motivated Software Engineer with a passion for OS internals, automation, and intelligent systems. The impact of this role is broad and direct — your investigations will uncover failures affecting Apple's entire device ecosystem, your contributions will touch software running across iPhone, Mac, and Apple Silicon, and the automation pipelines you help build will shape how reliability engineering scales across Apple.
You will dig into the operating system to understand the true origin of crashes and panics — not just the symptom at the top of a stack trace, but the underlying system-level conditions that caused it. You will operationalize that understanding by encoding triage logic into automation pipelines, and explore how ML and AI techniques can make those pipelines smarter over time. You will collaborate across Software, Hardware, and Silicon teams to drive issues all the way to resolution.
This role is a strong fit for an engineer who is eager to learn how operating systems work at a deep level, excited to build scalable automation and intelligent tooling, and motivated by seeing their work have real, measurable impact.
Responsibilities
Triage crashes and panics across Apple's OS stack by analyzing crash logs, kernel panics, and core dumps to isolate root cause
Collaborate with Software, Hardware, and Silicon teams to propose fixes, close coverage gaps, and drive issues to resolution
Encode triage logic into automation pipelines so future instances are classified and escalated without manual intervention
Apply ML and AI techniques — crash clustering, anomaly detection, pattern recognition — to build smarter triage pipelines
Build debug tooling, scripts, and CI/CD integrations that surface OS-level signals and validate platform stability at scale
Minimum Qualifications
Working knowledge of C and/or Swift for debug tooling or system-level development
Exposure to automation frameworks, CI/CD pipelines, or scalable test systems
Foundational understanding of OS internals: process and thread lifecycle, virtual memory, scheduling, synchronization, and system calls
Ability to read and reason through crash reports and kernel panics — backtraces, register state, and basic memory analysis
Hands-on experience with debugging tools such as LLDB, GDB, or Instruments
Proficiency in Python for scripting, automation, and test infrastructure
Preferred Qualifications
Experience applying ML or AI techniques to systems problems — crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization
Familiarity with LLMs or generative AI tooling in an engineering context — prompt engineering, RAG pipelines, or AI-assisted debugging workflows
Prior coursework or project experience in OS internals, systems programming, or low-level debugging
Familiarity with Apple platform internals: XNU kernel, Darwin subsystems, IOKit, libdispatch, or dyld
Contributions to automation frameworks or developer tooling that improved engineering productivity
Experience or interest in collaborating across silicon, firmware, or platform systems teams
Enthusiasm for building tools and systems that empower other engineers
Pay & Benefits — Cupertino, California, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $129,300 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.