... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Jacksonville, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Jacksonville, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Tallahassee, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Tallahassee, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Boca Raton, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Boca Raton, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Miami, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Miami, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Tampa, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Tampa, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Tampa, FL · On-site
$120 - $160/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
MLOps Engineer ID72409
Tampa, FL · On-site
$120 - $160/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
MLOps Engineer ID72409
Orlando, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Orlando, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Fort Lauderdale, FL · On-site
$150 - $190/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
MLOps Engineer ID72409
Fort Lauderdale, FL · On-site
$150 - $190/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Miami, FL · On-site
$140 - $180/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
MLOps Engineer ID72409
Miami, FL · On-site
$140 - $180/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
Quick apply
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Fort Lauderdale, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Fort Lauderdale, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
West Palm Beach, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
West Palm Beach, FL · On-site
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Data Engineering, Machine Learning, or Software Engineering ; - Degree in Computer Science ...
MLOps Engineer ID72409
Orlando, FL · On-site
$110 - $160/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
MLOps Engineer ID72409
Orlando, FL · On-site
$110 - $160/hr
... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... Engineering ; * - Degree in Computer Science, Software Engineering, or a related technical ...
Gpu Engineer information
See Florida salary details
$29.1K - $35.8K
3% of jobs
$35.8K - $42.5K
3% of jobs
$42.5K - $49.2K
4% of jobs
$49.2K - $55.9K
7% of jobs
$55.9K - $62.6K
6% of jobs
$63.2K is the 25th percentile. Wages below this are outliers.
$62.6K - $69.3K
6% of jobs
The median wage is $75.3K / yr.
$69.3K - $76K
21% of jobs
$76K - $82.7K
4% of jobs
$87K is the 75th percentile. Wages above this are outliers.
$82.7K - $89.4K
29% of jobs
$89.4K - $96.1K
2% of jobs
$96.1K - $102.8K
13% of jobs
$29.1K
$76K
$102.8K
How much do gpu engineer jobs pay per year?
As of Sep 3, 2026, the average yearly pay for gpu engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.
What does a GPU engineer do?
A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.
What are the key skills and qualifications needed to thrive as a GPU engineer?
To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.
What are some common challenges faced by GPU engineers, and how are they addressed?
GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.
How much does a GPU engineer make?
The average salary for a GPU engineer varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in graphics processing, parallel computing, or CUDA programming can earn higher salaries. Compensation may also include bonuses, stock options, and benefits based on the employer and geographic region.
What are the most commonly searched types of Gpu Engineer jobs in Florida?
The most popular types of Gpu Engineer jobs in Florida are:
What are popular job titles related to Gpu Engineer jobs in Florida?
For Gpu Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Gpu Engineer jobs in Florida look for?
The top searched job categories for Gpu Engineer jobs in Florida are:
- Remote Tcs Software Engineer
- Flexible Software Developer In Test
- Remote Propulsion Test Engineer
- Remote Government Software Engineering
- Remote Boeing Software Engineer
- Remote Damage Tolerance Engineer
- Remote Mobile Modular
- Senior Software Engineer In Test
- Senior Software Test Manager
- Software Development Software Engineer
What cities in Florida are hiring for Gpu Engineer jobs?
Cities in Florida with the most Gpu Engineer job openings:
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the infrastructure, pipelines, and automation needed to deploy models efficiently at scale. You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and AI researchers to translate experimental models into production-ready solutions.
WHAT YOU WILL DO
- Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment;
- Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment;
- Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability;
- Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production;
- Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions;
- Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost-effective.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering;
- Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be willing to work onsite;
- Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring;
- Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources;
- Deep understanding of containerization (e.g., Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments;
- A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
About AgileEngine
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
McLean, VA, US
Year founded
2000