Engineering Intern - LTCC
Description
Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales and manufacturing locations in over 30 countries, Mini-Circuits’ products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement and imaging applications, including military communication, guidance and electronic countermeasure systems, commercial, scientific, military land, sea and aircraft; automotive systems, medical systems, and industrial test equipment.
Mini-Circuits’ sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, sales representatives, as well as through our extensive website.
Position Summary:
As an LTCC Engineering Intern you will support the LTCC Business Unit with its strategic objectives and technology roadmap in meaningful ways. This internship focuses on exploring the potential applications of artificial intelligence and machine learning within the LTCC design and analysis workflow. You can expect to participate in the daily operations of the LTCC Business Unit through completion of your assigned tasks as part of a project in-line with your skills and interests. A major component of this internship is also for you to learn about the Mini-Circuits culture, values, and mission while gaining experience and further refining your RF/microwave skillsets in an industry environment.
Salary Range: $14.25-17.25 per hour
Job Function:
- Running circuit and EM simulations with industry standard tools such as ADS and HFSS.
- Compiling and analyzing the data from engineering tests. Creating Excel and PowerPoint reports and presenting to the team.
- Writing Python/MATLAB code to implement machine learning algorithms to accomplish differing tasks.
- Preparing training materials to train neural networks where applicable.
- Participating in weekly team meetings and design reviews to understand LTCC design workflow.
Qualifications:
- Preferably enrolled in a certified Master’s or PhD degree program in Electrical Engineering within an accredited education institution.
- Must show completed coursework and/or capstone projects related to RF/microwave engineering.
- General knowledge of radio frequency (RF)/microwave circuits, terminology, and analysis required.
- Basic knowledge of statistical analysis required.
- Knowledge of Python or MATLAB required.
- Basic knowledge of artificial intelligence (AI) and machine learning (ML) preferred.
- Ability to read, write, and orally communicate in English.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and listen. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Additional Requirements/Skills:
- Comply, understand, and support corporate safety initiatives to ensure a safe work environment.
- Ability and willingness to abide by Company’s Code of Conduct
Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management’s discretion.
Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy-related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law.