
Performance Engineering Intern - Poughkeepsie
POUGHKEEPSIE, NYInternshipSeen 6 days agoSeen in employer's feed 5 days ago
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Job overview
The Performance Engineering Intern will contribute to IBM Z performance and architecture work, applying classroom concepts to enterprise systems. Projects may include analyzing workloads, modeling system performance, developing tests and automation, and supporting architecture and workload characterization. The intern may also explore AI applications for performance analysis and collaborate with hardware and software teams on future IBM Z technologies.
Skills & qualifications
Skills
Qualifications
Full job description
Introduction
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.
Your role and responsibilities
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.
Required technical and professional expertise
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
Preferred technical and professional experience
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
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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