Software & Hardware Dev Intern: Quantum & AI

IBM; Rochester (MN); On-site; USD 90,000 - 140,000; Full time

Job summary

IBM in Minnesota (Rochester) is seeking a Software or Hardware Development Engineer to contribute to design, testing, and support of IBM's technologies, from processors to AI systems. You will work with global teams to install, validate, and optimize hardware, firmware, and AI LLM deployment.

Ideal candidates have a Bachelor's degree, experience with client-server architectures, APIs, and agile methods, plus strong communication and problem-solving skills.

Qualifications

• Understanding of client-server architectures and networking protocols.
• Experience with application development and databases.
• Ability to design scalable APIs, servers, services, and applications.
• Familiarity with Agile development methodologies.
• Strong communication, design, and testing skills.
• Curiosity, creativity, and a client-first mindset.

Responsibilities

• Install and test hardware systems hands-on.
• Validate and characterize processors and systems.
• Support customers and field engineers with technical solutions.
• Design and test firmware architectures.
• Analyze failures and improve system reliability.
• Automate test suites and simulate customer environments.
• Develop and document test plans and procedures.
• Contribute to internal and external code repositories.
• Collaborate with global development teams.
• Install, configure, and validate AI Large Language Models (LLMs).

Skills

Client-server architectures

Databases experience

API design

Agile methodologies

Strong communication

Curiosity and problem solving

Education

Bachelor's Degree

Tools

DevOps Tools

Front-end frameworks

Debugging techniques

Job description

IBM in Minnesota (Rochester) is seeking a Software or Hardware Development Engineer to contribute to design, testing, and support of IBM's technologies, from processors to AI systems. You will work with global teams to install, validate, and optimize hardware, firmware, and AI LLM deployment.

Ideal candidates have a Bachelor's degree, experience with client-server architectures, APIs, and agile methods, plus strong communication and problem-solving skills.