Software Engineer, Reliability Engineering, AiDP
Apple - Austin Metro Area, United States of America
Posted Jan 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Reliability Engineering, AiDP Austin Metro Area, United States of America The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate ML, GenAI, Inference and Data Platforms and Services to provide a comprehensive suite of capabilities-serving business-critical needs across Apple's enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open-source and cutting edge technologies. We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud environments.As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data platform. Build, enhance, and maintain multi-tenant systems leveraging diverse technologies. Collaborate with cross-functional teams to deliver impactful customer features. Lead projects through full lifecycle, from design discussions to release delivery. Operate, scale, and optimize high-throughput and highly concurrent services. Diagnose, resolve, and prevent production and operational challenges. Minimum Qualifications: BS/MS in computer science or equivalent experience. 2+ years experience programming skills in one of the following areas: Python, Java, or Go. 2+ years experience in Kubernetes, Docker or other container orchestration framework. Preferred Qualifications: Ability to read and explain open source codebase. Experience deploying and managing CI/CD pipelines. Strong expertise in troubleshooting complex production issues. Should be able to
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