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High Performance Computing Hpc Jobs in Florida (NOW HIRING)

Raytheon

Senior RF Sensor System Engineer

Miami, FL

$99.90K - $136.80K/yr

Familiarity with high-performance computing (HPC) environments and schedulers like SLURM. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more ...

Raytheon

Senior RF Sensor System Engineer

Orlando, FL

$97.60K - $133.50K/yr

Familiarity with high-performance computing (HPC) environments and schedulers like SLURM. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more ...

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Mechanical Engineer

Fort Lauderdale, FL · On-site

$90K - $140K/yr

... high-density HPC environments Benefits · Competitive compensation · 401(k) with employer ... High Performance Computing environments: www.imdatacenters.com

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How much do high performance computing hpc jobs pay per year?

As of May 31, 2026, the average yearly pay for high performance computing hpc in Florida is $51,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $62,000.00 per year, depending on experience, location, and employer.

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

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in High Performance Computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is High Performance Computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are popular job titles related to High Performance Computing Hpc jobs in Florida? For High Performance Computing Hpc jobs in Florida, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Florida look for? The top searched job categories for High Performance Computing Hpc jobs in Florida are:
High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $51,002 per year, or $24.5 per hour.
Senior RF Sensor System Engineer

Senior RF Sensor System Engineer

Raytheon

Miami, FL

$99.90K - $136.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

3rd of 512 rated manufacturers

Job description

Date Posted:

2026-02-17

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 team is seeking an experienced Senior Engineer to join our team in Tucson, AZ. This role offers the opportunity to work on sensor, radome, and sensor measurement system technologies while contributing to innovative defense solutions.

In this position, you will be responsible for advancing sensor and radome designs and ensuring system performance meets program and customer requirements. As the RF Sensor System Responsible Engineering Authority (REA), you will collaborate with interdisciplinary teams and suppliers to achieve technical excellence.

This position is an onsite role based in Tucson, AZ, with occasional travel within the U.S. required.

What You Will Do:

  • Contribute to the development and detailed design of sensor or radome hardware and requirements.

  • Collaborate with interdisciplinary engineering teams, including thermal, structural, mechanical, and systems engineering.

  • Create and review documentation for sensor system testing, including analyses, schematics, interface drawings, test plans, and specifications.

  • Work closely with sensor manufacturing suppliers.

  • Analyze simulation and test data to verify performance against requirements.

Qualifications You Must Have:

  • Typically requires a Bachelor of Science degree in a STEM field (Science, Technology, Engineering, Mathematics) and a minimum of 5 years of relevant experience, or 3 years with a related advanced degree, with any combination of the following:

    • Experience contributing to sensor designs through concept trades/studies, preliminary design, final design, and / or qualification.

    • Experience using simulation and modeling tools such as HFSS, CST, FEKO, SENTRi, PMM, and/or GRASP.

    • Experience with sensor measurements within near-field systems.

Qualifications We Prefer:

  • Master of Science (MS) in Electrical Engineering.

  • Familiarity with high-power planar near-field measurement systems.

  • Knowledge of planar near-field to far-field processing algorithms.

  • Experience maturing sensor technologies to higher Technology Readiness Levels (TRL) or Manufacturing Readiness Levels (MRL).

  • Solid understanding of radar principles.

  • Experience analyzing and presenting technical data to stakeholders.

  • Strong sensor supplier and customer support experience.

  • Excellent communication skills, both verbal and written.

  • Proven ability to manage multiple priorities and execute technical plans effectively.

  • Strong interpersonal skills for collaboration within a team environment.

  • Experience participating in or presenting to boards such as Failure Review Board (FRB), Engineering Review Board (ERB), Change Control Board (CCB), or Manufacturing Review Board (MRB).

  • Knowledge of designing and measuring complex multi-layer radomes.

  • Proficiency in scientific programming languages such as Python or MATLAB.

  • Familiarity with high-performance computing (HPC) environments and schedulers like SLURM.

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.

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!

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 86,800 USD - 165,200 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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