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Cuda Engineer Jobs in Kentucky (NOW HIRING)

Cuda Engineer information

See Kentucky salary details

$31.7K

$93.2K

$119.4K

How much do cuda engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for cuda engineer in Kentucky is $93,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are popular job titles related to Cuda Engineer jobs in Kentucky?

For Cuda Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Cuda Engineer jobs in Kentucky look for?

The top searched job categories for Cuda Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Cuda Engineer jobs?

Cities in Kentucky with the most Cuda Engineer job openings:

Infographic showing various Cuda Engineer job openings in Kentucky as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, 7% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $93,177 per year, or $44.8 per hour.

AI RESEARCH SCIENTIST/ENGINEER

Gen Nine, Inc.

Covington, KY • On-site

Full-time

Re-posted 13 days ago


Job description

The Company

Gen Nine develops state-of-the-art, hardware and software solutions for healthcare applications. Working at Gen Nine means applying your passion and intellect to help solve some very challenging technical problems and thereby create some of the most advanced products in the world. If you're interested in working with small teams of highly talented and motivated engineers seeking to make a difference in the world, Gen Nine may be the place for you.


Location

This position is based in the vibrant Cincinnati area. Our offices overlook the spectacular Cincinnati skyline and are within walking distance to downtown shopping, shopping malls, restaurants, entertainment, waterfront parks, major league sporting venues and are less than a 20-minute drive to CVG, an international airport.


Position

We are looking for a creative expert who is interested in applying AI techniques to solve problems in healthcare. These include biological simulations, sensor data processing and analysis, and health and safety monitoring as part of multiple full-time, multi-year research and development projects funded by the National Institutes of Health. This is a paid, full-time, onsite position.


Skills, Experience and Q
ualifications

  • The ideal candidate will be a passionate engineer/scientist who is comfortable in both the hardware and software worlds with an advanced degree in Computer Science, Engineering, or another STEM field.
  • Excellent programming skills in Python, C++, Tensorflow, PyTorch, CUDA and/or similar languages.
  • Broad familiarity with Deep Learning tools and processes used in 3D Computer Graphics, and Animation.
  • Work experience with machine learning, deep learning, and reinforcement learning.
  • A background in machine learning techniques with large amounts of noisy data, and curiosity in applying it to complex problems.
  • Relevant research experience and publications.
  • Be capable of developing effective techniques and infrastructure, from the initial idea to prototypes and products.
  • Have experience with cloud environments and multi-machine setups.
  • Enthusiasm and the ability to participate in a small-team environment in order to solve interesting and complex problems, with or without supervision.
  • Ability to think entrepreneurially and innovate in a real-world environment.
  • A PhD. Is preferred, but will consider a M.S. degree in Computer Science, Computational Neuroscience, Physics, Mathematics, Electrical/Computer Engineering, or a related field with appropriate experience.

Gen Nine logo

About Gen Nine

Sourced by ZipRecruiter

Industry

Fitness and sports centers

Company size

11 - 50 Employees

Headquarters location

Covington, KY, US

Year founded

2005