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First-class CUDA Coders, Professionals for Hire in Ukraine

CUDA stands for Compute Unified Device Architecture, it is an extension of the C programming language, created by nVidia. This is a parallel computing platform and programming model that simplifies using a GPU for general purpose computing. CUDA provides the utilizing of multiple computing cores in the GPU to perform general-purpose mathematical calculations, achieving significant dramatic speedups in computing performance. CUDA is used for scientific and research applications in such areas as medical imaging, financial modeling, and energy exploration. It also helps to develop a new generation of end-user consumer applications in such areas as video conversion for mobile devices and improved video quality on a PC. CUDA architecture supports various programming environments, including OpenCL and DirectX Compute and standard programming languages such as C, C++, and Fortran. Scattered readings, which mean that the code can be read from arbitrary addresses in memory, unified memory, shared memory, faster loading and readbacks to and from the GPU, full support for integer and bitwise operations are among the advantages of CUDA.

CUDA Development Services

CUDA Development Services in Ukraine

Need a CUDA developer for your business? You clearly came to the relevant vendor. “Echo Ukraine” provides IT staffing services and project based programming. We pleasantly help you to get the relevant worker or a team for remote development. All our coders are accomplished experts proficient in creating custom-built apps using the most recent trends, including CUDA, .NET, Erlang, Opencart, Moodle, Cucumber, ASP.NET MVC, iBeacon, ABAP, JQuery, Chrome Extension. You can also select us as a CUDA development partner and delegate full-cycle development services to us.


  • Top-rated Ukrainian experts with over 3 yrs of business experience.
  • Talent retention best methods to make sure your developers stay contented.
  • Dedicated client supervisors to ensure smooth communication.
  • Flexible agreement with predictable bi-weekly payments.

We help you execute your ideas by preparing proved CUDA programmers who can contribute to your forces and promptly start delivering first-rate service. Get in touch with us and look over the CVs of candidates available for employment at the moment. Also, you can read “CUDA Developer Salary in the US and UK compare to Ukraine” to reveal the true cost of hiring.

TOP5 CUDA Programmers in November 2018

1 Mykola P.,Age: 25, E-mail: pr*@gmail.com,
Skills: C++, C++ (STL), CUDA
Contact Us to Get the Full CV (ID 554851)

2 Dmitrii M.,Age: 24, E-mail: ma*@mail.ru,
Skills: Java, C++, CUDA
Contact Us to Get the Full CV (ID 552924)

3 Vtali P.,Age: 25, E-mail: ed*@ukr.net,
Skills: Python, C++, CUDA
Contact Us to Get the Full CV (ID 552916)

4 Kostiantyn B.,Age: 32, E-mail: ko*@gmail.com,
Skills: C++, CUDA
Contact Us to Get the Full CV (ID 552914)

The rating of CUDA coders is based on our applicant tracking system (ATS) data and refreshed day after day.

Questions and Answers related to CUDA Development

What are the advantages of learning Nvidia Cuda and what are the career options for CUDA Developers?

“Basically CUDA is one of the Parallel Computing language through which you can make programs faster. I mean you can achieve Speed Up in computing. CUDA is dependent on NVIDIA’s GPU card. If you have interest to pursue Parallel Computing then you need to know about CUDA, as it helps you to get a job related to it.”

What are some CUDA tricks and optimizations?

“Understanding the CUDA memory model is key to many optimizations. Consider accesses to global memory. Whenever possible, it is much better for threads in the same warp to access adjacent memory locations on a given instruction than it is for them to access non-adjacent locations. This is because accesses to adjacent locations can be coalesced into one single request for a cache line, which will service all the individual requests in one go.”

What is the best way to learn CUDA?

“If you want to quickly accelerate your application code, then try the Accelerated Libraries like CUBLAS, CuFFT, CuDNN, CULA, ArrayFire, CuSPARSE, OPENCV, etc. This is highly recommended.If you want to learn from the basics, try coursera course “Heterogeneous Parallel Programming”. There are assignments, quiz etc. For a beginner, the book “CUDA by Example” is good to start. As you get comfortable of syntax and pointers, try “Programming Massively Parallel Processors: A Hands-on Approach” book. NVIDIA CUDA Resources will help in getting started.”

Parallel Computing: CUDA vs OpenCL: what is the most efficient?

“Currently CUDA is more efficient in terms of development cost and execution time since it has more uniform structure with its unique CUDA devices and environment. OpenCL tries to keep up all the GPU devices thus their doing is even longer for all the configuration needs and the execution time is relatively more costly. I suggest to go with CUDA if you have compatible device otherwise the only choice is OpenCL…”

What are the best books to study CUDA?

Top 10 CUDA Books You Should Read

Consider asking some of these questions during a job interview to assess candidate’s skills.


Big Names Using CUDA

What Fortune 500 companies are using CUDA in production among other popular technologies? A good example is Bayer (www.bayer.com).

Bayer – Global Home. We exist to help people thrive – Advancing health and nutrition is what we do best and care about most.

Also, big brands use CodeIgniter, Java, Socket.io, Vue.js, YII.

Typical Programming Projects and Tasks for CUDA Developers

Experienced Windows Form Developer For Image Processing

We are looking for an experienced developer to join an international team working on an exciting new image processing development. The candidate should have 3 years of windows form development ... (United States)

Use A OpenCV Filter As A Ffmpeg Filter

I need to use an OpenCV filter "bilateralFilter" (Cuda Version) as a Ffmpeg filter. The job is to create a Ffmpeg filter that calls the OpenCV filter. Ffmpeg can be compiled with OpenCV support ... (Brazil)

Computer Engineer Software C++ Hardware AES, Cache

I require someone with deep computer systems knowledge and experience and a healthy (or unhealthy) passion for DLT, cryptocurrencies and mining C++, Java, Assembly programming languages AES ... (United Kingdom)

Consulting: Additional FPGA-design , Firmware And Software

I am looking for an additional resource , to implement some of the projects for my consutling business. I am also an engineer, and will expect to work with the freelancer/team at a technical ... (United States)

These results are based on the freelance CUDA jobs extracted from Upwork in November 2018.

Trusted By The World’s Leading Companies Since 2013

  • CUDA experts for Microsoft
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  • CUDA specialists for F1

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