Performance Engineering Intern

IBM

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Quick summary

Work type: On-site
Location: Poughkeepsie, NY
Employment: Intern
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 57 roles within 25 mi

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How this pay compares to similar roles

Similar $167k

$106k $228k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $118,125–$216,250.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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At a glance

TL;DR · Performance Engineering Intern

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The Performance Engineering Intern joins the IBM Z Performance and Architecture organization to help optimize the technologies behind the flagship enterprise computing platform. In this role, you will analyze real-world enterprise workloads at scale to uncover performance opportunities using processor, memory, I/O, operating system, and application-level data. You will build models to evaluate system performance, develop benchmarks, and create automation tools. The work involves supporting computer architecture, performance tracing, and workload characterization while exploring AI and Generative AI to improve engineering productivity. Required skills include programming in C, C++, Python, Java, or Assembly, alongside a fundamental understanding of computer architecture and operating systems. You will collaborate with architects and hardware designers to solve complex problems across the full computing stack for mission-critical enterprise workloads.

Skills

C C++ Python Java Assembly SystemVerilog Linux Unix RISC-V Computer Architecture Operating Systems Machine Learning Generative AI Data Analysis Performance Engineering Benchmarking Automation Digital Logic Design

What you'll do

Analyze real-world enterprise workloads to identify performance opportunities across processor, memory, and I/O systems.
Build and utilize models to evaluate processor and system performance.
Develop performance tests, benchmarks, tools, and automation scripts.
Support computer architecture tasks including performance tracing and workload characterization.
Explore AI and Generative AI applications to improve performance analysis and engineering productivity.
Analyze performance data at the processor, memory, operating system, and application levels.

What we're looking for

High School Diploma/GED.
Bachelor's Degree (preferred).
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, problem-solving, communication, and teamwork skills.
Experience in Computer Architecture, Operating Systems, System Performance Engineering, or Performance Modeling (preferred).
Experience with Linux/Unix, RISC-V, Multi-Core Systems, or AI/Machine Learning (preferred).

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