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Cuda Jobs in Ohio (NOW HIRING)

Computer Scientist

Beavercreek, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Rust, CUDA, and high-performance computing is highly desirable. This position is ideal for a software engineer interested in scientific computing, high-performance software ...

Computer Scientist

Beavercreek, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Rust, CUDA, and high-performance computing is highly desirable. This position is ideal for a software engineer interested in scientific computing, high-performance software ...

Computer Scientist

Beavercreek, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Rust, CUDA, and high-performance computing is highly desirable. This position is ideal for a software engineer interested in scientific computing, high-performance software ...

Computer Scientist

Beavercreek, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Rust, CUDA, and high-performance computing is highly desirable. This position is ideal for a software engineer interested in scientific computing, high-performance software ...

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Showing results 1-20

Cuda information

See Ohio salary details

$106K

$195.8K

How much do cuda jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cuda in Ohio is $190,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $194,900.00 and $194,900.00 per year, depending on experience, location, and employer.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What are the most commonly searched types of Cuda jobs in Ohio?

The most popular types of Cuda jobs in Ohio are:

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

The top searched job categories for Cuda jobs in Ohio are:

Infographic showing various Cuda job openings in Ohio as of August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $190,624 per year, or $91.6 per hour.

Senior Software Engineer - Image Reconstruction (C++/CUDA)

Philips North America

Orange, OH • On-site

$114K - $183K/yr

Other

Retirement, PTO

Posted 4 days ago


Job description

Job Title
Senior Software Engineer - Image Reconstruction (C++/CUDA)
Job Description
Build the GPU-native engine that turns raw CT physics into life-saving images inside Philips scanners worldwide, wringing maximum performance from constrained hardware at the frontier of C++, CUDA, and AI alongside world-class physicists.
Your role:
  • Help re-architect an entire CT image-reconstruction pipeline, from raw detector physics to the final clinical image, as a fully GPU-native, massively scalable platform in C++ and CUDA.

  • Work shoulder-to-shoulder with physicists, algorithm architects, and platform engineers, translating complex signal and image-processing models into high-performance GPU implementations that balance image quality against compute cost.

  • Collaborate with CT platform teams around the globe to design, build, test, and deploy an industry-leading reconstruction software platform.

  • Push the frontier of performance engineering and applied AI by profiling, parallelizing, optimizing memory use across caches and shared memory, and pioneering learned models that replace expensive physics with fast, accurate equivalents.

  • This hybrid role is based in Cleveland, OH, with three flexible days in the office and two remote days each week. Regular travel is not typically required.

You're the right fit if:
  • You have 5+ years of professional experience developing and maintaining complex software systems in C++. You have experience with GPU programming (CUDA, OpenCL, or HIP), or you have optimized code for resource-constrained or embedded environments and are eager to transition into GPU-centric development.

  • You bring a strong mathematical foundation, and a background in image and signal processing, including the theory of medical image formation, is a plus. You are energized by performance engineering, and enjoy profiling, parallelization, and squeezing every bit of throughput from modern GPUs.

  • You have a bachelor's degree or higher in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, Biomedical Engineering, or a related field. Curiosity about applying machine learning to accelerate scientific or physics computation is a strong plus.

  • You have excellent written and verbal communication skills, able to explain complex designs, architectures, and algorithms to non-specialists. You have the ability and desire to collaborate closely with CT global development teams around the world.

  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The pay range for this position in Orange, OH is $114,750 to $183,600.00.
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Orange, Ohio
#LI-PHI
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.