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# Sr. AI Inference Platform Engineer

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, C++ (Programming Language), Continuous Integration, Distributed Systems, Python (Programming Language), Prometheus, Software Engineering, AI Infrastructure, Data Logging, Large Language Models, Grafana, Kubernetes, Information Technology, Data Analytics, TensorRT, Splunk, Data Pipelines, Golang, Programming Languages
- **Published:** August 13, 2026
- **Apply:** https://www.seattlejobs.com/job.asp?id=3351754374&tx=IT9184THV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* BS or MS in Computer Science or related technical field.
 * Solid understanding of AI/ML inference architecture and the performance characteristics of serving systems.
 * 7 or more years of experience with performance and infrastructure engineering in distributed systems.
 * 7 years of experience coding in Python, Go, C++, or other programming languages.
 * Experience with automation engineering, tooling, and data pipelines to support engineering workflows.
 * Strong knowledge of GPU/accelerator architecture as it relates to AI workloads.
 * Practical statistical knowledge applicable to performance analysis and forecasting.
 * Excellent communication skills and ability to turn data into clear guidance for infrastructure teams and capacity planners., * Experience with performance benchmarking and methodologies for AI/ML inference systems.
 * Familiarity with capacity planning and forecasting/projection models for large-scale infrastructure.
 * Experience with GPU profiling and observability tools (e.g., Nsight, other vendor-specific profilers).
 * Experience with data visualization and reporting tools/frameworks for surfacing performance trends to stakeholders.
 * Familiarity with ML serving frameworks and runtimes (e.g., Triton, TensorRT-LLM, vLLM, or similar).
 * Experience with CI/CD and workflow orchestration tools for building automated performance analysis pipelines.
 * Knowledge of cluster schedulers and orchestration platforms (e.g., Kubernetes).
 * Experience with metrics and logging tools (e.g., Prometheus, Grafana, Splunk).

## Description

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.


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