Engineering Internships - Posted Trending

United States and 6 more

Trending

Locations: Scottsdale, AZ;
Allen, TX;
San Jose, CA;
Hopewell Junction, NY;
Nampa, ;
Mountain Top, PA;
Gresham, OR.

At onsemi
, you'll do more than complete an internship. You'll help shape the future of intelligent power and sensing technologies that enable electric vehicles, renewable energy, industrial automation, cloud infrastructure, and next-generation consumer electronics.

We are proud to offer a high-impact internship experience where students work alongside industry-leading engineers on meaningful projects that contribute directly to our business and technology roadmap. As an Engineering Intern, you'll gain hands-on experience solving real engineering challenges, working with cutting-edge semiconductor technologies, and developing skills that will accelerate your career.

Whether your passion is hardware, software, manufacturing, data analytics, artificial intelligence, or product development, you'll have the opportunity to make a measurable impact while learning from experts across the organization.

Why Join onsemi?

• Work on real projects that influence products used by customers around the world.
• Gain hands-on experience with advanced semiconductor technologies, including Silicon Carbide (SiC), Gallium Nitride (GaN), intelligent power solutions, and sensing technologies.
• Collaborate with experienced engineers, scientists, and business leaders.
• Build technical and professional skills through mentorship, training, and networking opportunities.
• Present your work to engineering and leadership teams.
• Explore potential full-time career opportunities with a global semiconductor leader.

Engineering internship opportunities may be available in:

• Applications Engineering
• Manufacturing Engineering
• Quality & Reliability Engineering
• Software Engineering
• AI & Machine Learning Engineering
• Technical Marketing
• Process Engineering

This is an onsite internship opportunity
. Interns work directly from an onsemi office, laboratory, or manufacturing facility, providing valuable exposure to real-world engineering environments, technologies, and team collaboration. Remote work is not available for this position.

Depending on your assigned team and area of focus, you may:

• Contribute to the development, testing, and improvement of semiconductor products and technologies.
• Design and conduct experiments, product characterization, and validation activities.
• Analyze technical data to identify trends, solve problems, and drive engineering decisions.
• Develop software tools, automation solutions, AI-enabled applications, or data analytics dashboards.
• Support product qualification, manufacturing optimization, reliability assessments, and process improvements.
• Utilize industry-standard engineering software, programming languages, laboratory equipment, and data analytics tools.
• Collaborate with cross-functional teams across engineering, manufacturing, operations, quality, marketing, and business functions.
• Document results and communicate technical findings through reports and presentations.
• Present project outcomes and recommendations to engineering and leadership audiences.
• Participate in intern networking events, professional development workshops, and mentorship programs.

Minimum Qualifications:

• Currently pursuing a Bachelor's, Master's, or PhD degree in:
  • Electrical Engineering
  • Computer Engineering
  • Mechanical Engineering
  • Chemical Engineering
  • Materials Science
  • Physics
  • Computer Science
  • Data Science
  • Or a related engineering or technical discipline
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.
• Passion for innovation and interest in semiconductor technology.

Preferred Qualifications:

Experience or coursework in one or more of the following areas is highly valued:

• Analog, mixed-signal, or power electronics.
• Silicon Carbide (SiC), Gallium Nitride (GaN), Power MOSFET, or IGBT technologies.
• Product testing, characterization, validation, and failure analysis.
• Data analytics, visualization, and statistical analysis.
• AI, machine learning, generative AI, or data-driven engineering applications.
• Programming experience with Python, MATLAB, JMP, LabVIEW, SQL, or similar tools.
• Circuit simulation tools such as Cadence, SPICE, LTspice, MATLAB, or equivalent platforms.
• Statistical modeling, experimental design, and process optimization.
• Laboratory experience using oscilloscopes, source measure units…