Hardware & Firmware Design Intern (GenAI focus)

Vertiv; Fort Lauderdale (FL); On-site; USD 35,000 - 50,000; Full time

Job summary

Vertiv in Fort Lauderdale, FL is seeking an Engineering Intern to gain hands-on experience in hardware and firmware development within our Core Engineering team, with exposure to Design Engineering, Test Engineering, and GenAI tools.

Ideal candidates are pursuing a degree in Computer Engineering or Computer Science, with strong written and verbal communication, analytical thinking, and collaboration skills, and a willingness to learn in a fast-paced environment.

Qualifications

• Must be pursuing a degree in Computer Engineering, Computer Science, or a related field.
• Excellent written and verbal communication skills
• Demonstrated work ethic and detail‑orientation
• Strong analytical and critical thinking skills
• Ability and willingness to learn in a fast‑paced environment and produce high‑quality work
• Collaboration and teamwork

Responsibilities

• Development of firmware/software on embedded Yoto Linux environment.
• Create new features/software/development with the use of GenAI tools.
• Learn and use Agile Development for product design and test.
• Monitor data quality and integrity, identifying any discrepancies or issues and collaborating with the team to resolve them.
• Stay updates with the latest trends and technologies in data analytics, continuously seeking opportunities to enhance your skills and apply new techniques.

Skills

Excellent communication skills

Detail-oriented

Analytical thinking

Willingness to learn

Team collaboration

Education

Pursuing a degree in Computer Engineering, Computer Science, or related field

Tools

GenAI tools

Yoto Linux environment

Job description

Vertiv in Fort Lauderdale, FL is seeking an Engineering Intern to gain hands-on experience in hardware and firmware development within our Core Engineering team, with exposure to Design Engineering, Test Engineering, and GenAI tools.

Ideal candidates are pursuing a degree in Computer Engineering or Computer Science, with strong written and verbal communication, analytical thinking, and collaboration skills, and a willingness to learn in a fast-paced environment.