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.
Quick apply
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.
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.
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.
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.
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.
Cuda Engineer information
See Kentucky salary details
$31.7K - $39.7K
5% of jobs
$39.7K - $47.7K
5% of jobs
$47.7K - $55.6K
0% of jobs
$55.6K - $63.6K
1% of jobs
$63.6K - $71.6K
5% of jobs
$77.6K is the 25th percentile. Wages below this are outliers.
$71.6K - $79.5K
11% of jobs
$79.5K - $87.5K
14% of jobs
$87.5K - $95.5K
7% of jobs
The median wage is $96.2K / yr.
$95.5K - $103.5K
13% of jobs
$103.5K - $111.4K
9% of jobs
$112.7K is the 75th percentile. Wages above this are outliers.
$111.4K - $119.4K
30% of jobs
$31.7K
$93.2K
$119.4K
How much do cuda engineer jobs pay per year?
As of Aug 12, 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 is the difference between Cuda Engineer vs GPU Developer?
| Aspect | Cuda Engineer | GPU Developer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programming | Bachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL |
| Work Environment | Research labs, tech companies, hardware firms focusing on GPU acceleration | Software development teams, gaming, AI, scientific computing sectors |
| Employer & Industry Usage | Hardware manufacturers, AI companies, high-performance computing firms | Game 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.
How much do Cuda engineers make?
Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.
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 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.
Are CUDA engineers in demand?
CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
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:
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 Qualifications
- 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.
About Gen Nine
Sourced by ZipRecruiter
Industry
Fitness and sports centers
Company size
11 - 50 Employees
Headquarters location
Covington, KY, US
Year founded
2005