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Gpu Programming Jobs in Miami, FL (NOW HIRING)

The ideal candidate is a hands-on technology leader with deep experience in infrastructure, servers, multi-GPU environments, and scaling complex engineering initiatives. Blockchain experience is a ...

Data Center Technician

Miami, FL · On-site

$30 - $36/hr

About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Role Overview We are looking for a Managing Director, EdgeUno Compute, to lead and scale our GPU ... Collaborate with engineering, operations, and product teams to ensure technical execution aligns ...

Role Overview We are looking for a Managing Director, EdgeUno Compute, to lead and scale our GPU ... Collaborate with engineering, operations, and product teams to ensure technical execution aligns ...

Role Overview We are looking for a Managing Director, EdgeUno Compute, to lead and scale our GPU ... Collaborate with engineering, operations, and product teams to ensure technical execution aligns ...

Role Overview We are looking for a Managing Director, EdgeUno Compute, to lead and scale our GPU ... engineering, operations, and product teams to ensure technical execution aligns with business ...

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) • 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting ...

Senior ML Engineer

Dania Beach, FL · On-site

$102K - $141K/yr

You will work alongside our AI Engineering team to push the capabilities of our platform and ... Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron-LM) for multi-GPU or ...

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Gpu Programming information

See Miami, FL salary details

$31.6K

$62.1K

$91.3K

How much do gpu programming jobs pay per year?

As of Aug 6, 2026, the average yearly pay for gpu programming in Miami, FL is $62,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $76,500.00 per year, depending on experience, location, and employer.

What is GPU programming?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What are the key skills and qualifications needed to thrive in GPU programming, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What types of projects or applications do GPU programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the most commonly searched types of Gpu Programming jobs in Miami, FL? The most popular types of Gpu Programming jobs in Miami, FL are:
What are popular job titles related to Gpu Programming jobs in Miami, FL? For Gpu Programming jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Gpu Programming jobs in Miami, FL look for? The top searched job categories for Gpu Programming jobs in Miami, FL are:
Infographic showing various Gpu Programming job openings in Miami, FL as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $62,144 per year, or $29.9 per hour.

Postdoctoral Associate - CIMAS

The University of Miami

Miami, FL • On-site

Full-time

Re-posted 21 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

256th of 615 rated colleges and universities


Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science has an exciting opportunity for a full-time Post-Doctoral researcher position based in Miami, Florida. This position is supported for a period of two years through a project funded by the NOAA Global Ocean Monitoring and Observing (GOMO) program.
The primary objective of this role is to undertake a comprehensive investigation to quantify the impact of various ocean observations on the accuracy and robustness of the Marine JEDI analysis system. A main focus involves systematically evaluating how the assimilation of diverse oceanographic data affects the initial state of the ocean models. This analysis is fundamental to understanding and ultimately enhancing the skill of coupled ocean-atmosphere models used for tropical cyclone and hurricane prediction. The incumbent is expected to: (1) Perform ocean Observing System Experiments (OSEs) to assess the impact of ocean observations, particularly in-situ observations from various platforms, such as gliders, on ocean analysis; (2) Conduct ocean OSEs for hurricane forecasts, using weakly coupled data assimilation integrated into the coupled Hurricane Analysis and Forecast System (HAFS). The appointee will work closely with scientific advisors at the PhOD, as well as partners at the Hurricane Research Division of NOAA/AOML and at the Environmental Modeling Center (EMC) of the U.S. National Weather Service.
Department Specific Functions
Duties include but are not limited to:
  • Improve existing high-resolution Modular Ocean Model version6 (MOM6) regional model to minimize model errors.
  • Conduct MOM6 analysis using the Marine JEDI data assimilation (DA) system with a variational DA approach.
  • Perform ocean OSEs, with various DA cycling and different data windows, and conduct hurricane predictions using the coupled Hurricane Analysis and Forecast System (HAFS).
  • Analyze results and present findings in scientific meetings and publish results in peer-reviewed journals.

Minimum Qualifications
  • Applicants must have a Ph.D. in oceanography, applied mathematics, statistics or closely related discipline.
  • Required skills include a demonstrated experience with running numerical ocean, atmosphere, or coupled Earth system model, and/or data assimilation, and also include trouble shooting capabilities.
  • Desirable skills include working knowledge of Linux, FORTRAN, Python and C++; experience with machine learning, parallel computing and high-performance computing environments, and GPU programming.
  • Necessary skills include knowledge of data processing using software (e.g., Matlab, R, IDL) and/or statistical/mathematical programming languages (e.g., R, Matlab, Python).
  • The incumbent must have a proven publication record, scientific writing skills, and communication skills.
  • The successful candidate must be able to work independently as well as collaboratively with internal and external partners.

The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.
With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.
We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Staff

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About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925