Software Engineer - AiDP Reliability Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
29 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $170k
$130k most similar roles pay here $211k

This listing doesn't post a salary. Most similar roles pay $137,375–$202,800.

Based on 240 similar postings.

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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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Software Engineer - AiDP Reliability Engineering

Software Engineer - AiDP Reliability Engineering, IS&T, Early Career Opportunities will join the Applied Machine Learning team within the AI and Data Platform organization. This role focuses on building and operating large-scale platform and distributed systems across hybrid cloud environments to support machine learning, generative AI, inference, and big data platforms. The engineer will build, enhance, and maintain multi-tenant systems while collaborating with cross-functional teams to deliver features through the full project lifecycle. Daily tasks include scaling high-throughput services and resolving production challenges. Candidates should possess a computer science foundation and proficiency in Python, Java, or Go. Preferred technical skills include experience with Spark, Flink, Trino, Iceberg, Kubernetes, Flux, and Argo CD. The role addresses critical infrastructure needs for enterprise-wide machine learning capabilities using diverse open source technologies to solve complex scale and performance problems.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

See salary data

What you'll do

  • Build, enhance, and maintain multi-tenant systems using diverse technologies.
  • Lead projects through the full lifecycle from initial design to final release delivery.
  • Operate, scale, and optimize high-throughput and highly concurrent services.
  • Diagnose, resolve, and prevent production and operational challenges.
  • Develop and maintain infrastructure for GenAI, ML, Inference, and Big Data platforms.
  • Manage distributed systems across hybrid cloud environments using open source technologies.

What we're looking for

  • Bachelor's Degree in Computer Science, Computer Engineering, or equivalent technical degree.
  • Proficient programming knowledge in Python, Java, or Go and the ability to read and explain open source codebases.
  • Good foundation of Operating Systems, Networking, and Security Principles.
  • Relevant internship experience.
  • Excellent analytical and problem solving skills (preferred).
  • Exposure to Model Training or Fine Tuning methodologies (preferred).
  • Exposure to Spark, Flink, Trino, Iceberg, and other modern cloud native big data technologies (preferred).
  • Exposure to Kubernetes and other cloud native technologies like Flux/Argo CD (preferred).

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