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Gpu Programming Jobs in Florida (NOW HIRING)

BNY

AI Infrastructure Engineer

Lake Mary, FL · Hybrid

$94K - $123K/yr

AI Infrastructure Engineer At BNY, our culture allows us to run our company better and enables ... Be hands-on with enterprise-grade NVIDIA AI infrastructure , supporting GPU-based compute, high ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · Hybrid

$94K - $123K/yr

AI Infrastructure Engineer At BNY, our culture allows us to run our company better and enables ... Be hands-on with enterprise-grade NVIDIA AI infrastructure , supporting GPU-based compute, high ...

Deloitte

HPC AI Solution Architect (S2S)

Tampa, FL · On-site

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

Introl

Data Center Technician

Miami, FL · On-site

$22 - $35/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 ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ... More typical DevOps responsibilities for software development as required. Required Qualifications ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ... More typical DevOps responsibilities for software development as required. Requirements Required ...

Introl

Data Center Technician

Orlando, FL · On-site

$22 - $35/hr

The region is growing its GPU computing capacity for AI and simulation workloads. About Introl ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

EdgeUno

Managing Director, EdgeUno Compute

Miami, FL · On-site

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 ...

Edgeuno

Managing Director, EdgeUno Compute

Miami, FL · On-site

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 ...

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Gpu Programming information

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$24.7K

$48.6K

$71.4K

How much do gpu programming jobs pay per year?

As of Jun 17, 2026, the average yearly pay for gpu programming in Florida is $48,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,700.00 and $59,800.00 per year, depending on experience, location, and employer.

What is a GPU Programming job?

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 the Gpu Programming position, 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 Florida? The most popular types of Gpu Programming jobs in Florida are:
What are popular job titles related to Gpu Programming jobs in Florida? For Gpu Programming jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Gpu Programming jobs in Florida look for? The top searched job categories for Gpu Programming jobs in Florida are:
What cities in Florida are hiring for Gpu Programming jobs? Cities in Florida with the most Gpu Programming job openings:
Gpu Programming jobs near you
AI Platform Engineer

AI Platform Engineer

General Dynamics Information Technology

Tampa, FL • On-site

$127K - $172K/yr

Full-time

Retirement, PTO

Posted 7 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

REQ#: RQ214685Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.

Job Description

MEANINGFUL WORK AND PERSONAL IMPACT


As an AI Platform Engineer (LLM & MLOps), the work youll do at GDIT will be impactful to the mission of USCENTCOM. You will play a crucial role in the design, deploy, and operate secure, scalable AI inference and orchestration platforms supporting USCENTCOMs Data Analytical Environment (DAE) and AI environment. This role focuses on platform reliability, workflow stability, and operationalizing commercial LLMs in on-premises and hybrid environments.

The engineer will work with GPU-enabled Kubernetes clusters, model serving frameworks, vector databases, and secure APIs to enable Retrieval-Augmented Generation (RAG) and agent-based AI workflows. This position does not focus on model training or AI research; instead, it emphasizes execution, integration, and platform resilience. This role supports the evolution of enterprise AI capabilities from foundational platforms to reusable, governed agent-based services.

Duties and Responsibilities

  • Design, deploy, and maintain GPU-enabled Kubernetes environments for AI inference and orchestration.

  • Operationalize commercial LLM inference services using frameworks such as Text Generation Inference (TGI), KServe, FastChat, Triton, or similar.

  • Integrate vector databases and knowledge repositories to support RAG and graph-augmented LLM workflows.

  • Build and maintain secure REST APIs for AI job submission, inference requests, and workflow orchestration.

  • Implement MLOps and platform lifecycle practices, including model versioning, containerization, CI/CD, and reproducibility.

  • Enforce multi-tenant isolation, RBAC, namespace quotas, and resource controls across teams.

  • Implement monitoring, logging, and alerting for AI services, GPU utilization, and workflow health.

  • Support secure deployment in air-gapped, on-prem, and hybrid environments, adhering to DoW security requirements.

  • Collaborate with platform, automation, and data teams to align AI capabilities with mission workflows.

  • Support prompt, rule, and heuristic-based agents by ensuring reliable inference, retrieval, and context delivery.

  • Maintain conversation-aware context pipelines used for tagging and classification agents.


WHAT YOULL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Data Engineer Principal must have:

  • Education: Bachelors degree in Computer Science, Engineering, or related technical field (or equivalent experience

  • Certification: DoW Directive 8140 compliant

  • Experience: 8+ years of related experience

  • Required Skills

    • Strong experience with Kubernetes, containerization (Docker/Podman), and GPU scheduling.

    • Hands-on experience deploying LLM inference services (commercial or open-source).

    • Proficiency with Python and API development for platform services.

    • Experience integrating vector databases (e.g., FAISS, Milvus, Weaviate, OpenSearch).

    • Familiarity with MLOps toolchains (MLflow, CI/CD pipelines, artifact registries).

    • Experience operating systems in secure DoW environments.

    • Knowledge of monitoring/logging stacks (Prometheus, Grafana, ELK/Loki).

  • Desired Skills

    • Experience with RAG or agent-based AI architectures.

    • Familiarity with Kubernetes-native workflow engines (Argo, Kubeflow).

    • Exposure to cost tracking or usage metering for shared compute platforms.

    • Understanding of DoW AI governance, ethical AI, and responsible deployment.

  • Security clearance level: Active Secret clearance required; TS/SCI preferred or eligible

  • US citizenship required


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

  • Growth: AI-powered career tool that identifies career steps and learning opportunities

  • Support: An internal mobility team focused on helping you achieve your career goals

  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off

  • Community: Award-winning culture of innovation and a military-friendly workplace

#armajobs

#gditpriority

Work Requirements
Years of Experience

8 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

CompTIA Security+ CE | CompTIA - CompTIA

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $127,500 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

What General Dynamics Information Technology employees say

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Benefits

Hours and flexibility

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About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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