Sr. AI Inference Platform Engineer
Apple
Listing collected from Apple's career site. NextChapter is independent of Apple.
Seattle, WA · Posted October 29, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Apple has filed 4 layoff notices in the last twelve months, covering 225 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
About the job
We are looking for senior engineer to build tooling, automation, and analysis capabilities that strengthen our AI inference platform. This role will focus on developing sophisticated performance benchmarking systems, capacity projection models, and data analysis pipelines that directly inform our AI infrastructure teams and capacity planners. You'll work at the intersection of AI systems performance, distributed infrastructure, and software engineering to help the team make data-driven decisions about scaling and optimizing our inference platform.