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IBM

Performance Engineering Intern - Poughkeepsie

Poughkeepsie, United States

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hirly's read of this role

Seniority
Internship
Country
US
Work mode
On-site / unstated
First seen by hirly
13 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. The IBM Z Performance and Architecture organization helps design and optimize the technologies behind IBM Z, IBM's flagship enterprise computing platform. IBM Z powers some of the world's most demanding business applications, processing massive volumes of transactions while delivering high levels of reliability, security, and performance. What makes IBM Z unique is that IBM engineers the entire system stack, including processor architecture, hardware, firmware, operating systems, virtualization technologies, middleware, applications, and performance tooling. This end-to-end ownership allows our teams to solve complex problems across the full computing stack and deliver highly integrated solutions for mission-critical enterprise workloads. Our work spans computer architecture, operating systems, performance engineering, data analytics, automation, workload analysis, and applied AI. As an intern, you may work on projects involving: Analyzing real-world enterprise workloads at scale to understand system behavior and uncover performance opportunities using processor, memory, I/O, operating system, and application-level performance data Building and using models to evaluate processor and system performance Developing performance tests, benchmarks, tools, and automation Supporting computer architecture, performance tracing, modeling, and workload characterization Exploring AI and Generative AI to improve performance analysis and engineering productivity Collaborating with architects, hardware designers, software developers, and performance engineers This role provides an opportunity to apply classroom concepts to real-world enterprise systems and contribute to the development and performance of future IBM Z technologies. Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field Fundamental understanding of computer architecture, operating systems, software development, or digital systems Programming experience in one or more languages such as C, C++, Python, Java, or Assembly Strong analytical and problem-solving skills Strong communication and teamwork skills Computer Architecture and Processor Design Operating Systems and Systems Programming System Performance Engineering, Analysis, or Optimization Processor, Memory, and I/O Architecture Performance Modeling, Benchmarking, or Workload Analysis Probability and Statistics or Operations Research C/C++, Python, Assembly, or SystemVerilog Linux/Unix or RISC-V Multi-Core Systems or Digital Logic Design Data Analysis and Automation AI, Machine Learning, or Generative AI United States Infrastructure & Technology Hybrid Internship POUGHKEEPSIE, US (0147) International Business Machines Corporation

Original posting on IBM's site ↗

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