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Internship High Performance Computing Engineer Jobs in Florida

FPGA Design Engineer Staff

Orlando, FL · On-site

$114K - $158K/yr

You will be the FPGA Design Engineer for the Missile &Fire Control (MFC) team at LockheedMartin ... high performance computing and signal processing capabilities required for mission critical ...

$4.5K - $5.8K/wk

... computing, natural language processing, machine learning and more. As an intern, you'll get to ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

Software Engineer - Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

... computing, natural language processing, machine learning and more. As an intern, you'll get to ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

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Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What are the most commonly searched types of High Performance Computing Engineer jobs in Florida? The most popular types of High Performance Computing Engineer jobs in Florida are:
What are popular job titles related to Internship High Performance Computing Engineer jobs in Florida? For Internship High Performance Computing Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Florida look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Florida are:
What cities in Florida are hiring for Internship High Performance Computing Engineer jobs? Cities in Florida with the most Internship High Performance Computing Engineer job openings:
Infographic showing various Internship High Performance Computing Engineer job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Raytheon Full Time 2026 - RF Antenna and Radome Engineer II

Raytheon Full Time 2026 - RF Antenna and Radome Engineer II

Raytheon

Miami, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Raytheon rating

9.0

Company rating: 9.0 out of 10

Based on 98 frontline employees who took The Breakroom Quiz

5th of 535 rated manufacturers


Job description

Date Posted:

2026-06-24

Country:

United States of America

Location:

US-AZ-TUCSON-M02 ~ 1151 E Hermans Rd ~ BLDG M02

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

The Effector RF Design Department is seeking talented engineers with the skills and passion to work on complex projects that shape antenna, radome, and antenna measurement system technology within the company. The selected candidate will be contributing to diverse teams and executing tasks in various antenna and radome design life cycles. This is an entry-level RF Engineer position for an individual with educational experience and/or professional interest in the application of technical antenna principles, concepts, and techniques.  A successful candidate is one with the skillset and passion required to solve complex engineering problems, properly apply engineering tools and processes, and leverage knowledge from previous coursework and projects.

This position is in Tucson, AZ and is an on-site role.

What You Will Do

  • Development of antenna or radome hardware and requirements.

  • Working with interdisciplinary engineering teams including thermal, structural, mechanical, systems, etc.

  • Working with antenna manufacturing suppliers.

  • Antenna modeling and simulation execution on workstations and high performance computing resources (HPC)

  • Interpret simulation or measurement test data to verify performance to requirements.

Qualifications You Must Have

  • Master’s degree in Electrical Engineering or Computer Engineering or related Science, Technology, Engineering, or Mathematics (STEM) major.

  • Experience and/or coursework with RF and electromagnetic theory

  • Proficiency with modeling & simulation tools such as HFSS, CST, FEKO, SENTRi and/or GRASP

Qualifications We Prefer

  • ABET is the preferred, although not required accreditation standard.

  • 3.0 cumulative GPA desired.

  • Solid background and practical understanding of designing GPS antenna systems (to include experience or relevant course work).

  • Model generation and simulation experience with conformal antennas (to include experience or relevant course work).

  • Proficiency with Python, MATLAB and/or other high level scientific programming languages

  • Proficiency with high performance computing (HPC) environments and schedulers such as SLURM

  • ABET is the preferred, although not required, accreditation standard. 3.0 cumulative GPA desired.

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

  • Relocation Eligibility

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Please upload a copy of your most recent transcripts with your resume when applying to this requisition. Include your cumulative GPA and projected graduation date on your resume.

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm 

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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