Turing’s AI-powered deep-vetting talent platform helps you hire top CUDA developers from a planetary pool of highly-skilled remote developers. Join Turing and unleash the world’s untapped human potential.
Software Developer
Dinh is a software engineer with 8 years of experience both the front-end & back-end development. She is highly skilled in technologies like CSS, JavaScript, HTML, Git, etc.
Software Developer
Bhagirath has 12+ years of software engineering experience. He has previously worked on/led more than 10 enterprise-scale ICT projects.
Software Developer
Erkhembayar has 7 years of experience in backend, frontend, PostgreSQL, and android development. His expertise lies in Banking, Financial, and Enterprise architecture.
Software Developer
Sadeck has 7+ years of experience in software development. He has worked in designing system architectures and solutions for rapid scaling.
Software Developer
Alessander has 13+ years of experience in software development. He is proficient in technologies such as MongoDB, Java, Python, and back-end development.
Turing has been providing us with top software developers in Latin America. All our other vendors combined don't have the headcount that Turing does.
We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as compared to other vendors.
We're super excited about Turing as we will scrap our existing lengthy interview process and lean on Turing's vetting to build up teams on demand.
4 days
to fill most roles,
sometimes same day.
50+ hours
of engineering team time
saved per developer on interviewing.
97%
engagement
success rate.
We’ll schedule a call and understand your requirements.
Get a list of pre-vetted candidates within days.
Meet and select the developers you like.
Start building with a no-risk 3 week trial period.
CUDA is a parallel computing platform and Application Programming Interface (API) developed by Nvidia. It allows the software to work with specific types of Graphics Processing Units (GPUs) for general-purpose processing. This approach is often referred to as general-purpose computing on GPUs.
CUDA allows developers to ramp up the efficiency of their applications by harnessing the power of GPUs. Aided with a design that easily works with programming languages such as C, C++, and Fortran, it further makes easy the use of GPU resources for parallel programming. Besides, the ability to harness the power of graphical processing units has handed developers several advantages in building digital solutions. This has in turn compelled most organizations to hire CUDA developers who can effectively perform general-purpose computing.
If an organization is able to hire CUDA developers with a deep understanding of the technology, it can expand an organization’s development potential. An ideal candidate must be abreast of CUDA-accelerated libraries, compiler directives such as OpenACC, and extensions to industry-standard programming languages to access the CUDA platform.
The ideal developer should be able to utilize extensions to build high-end applications. Hiring the best CUDA coders also allows for building products with efficient data transfers between system and video memory. The technology also offers hardware support for integer and bit operations. And, in order to take advantage of such features, most companies are actively trying to hire top CUDA engineers capable of producing state-of-the-art solutions.
However, the rising demand for CUDA developers has also increased the challenges for recruiters in finding the right talent. Not only do they need to vet them for communication skills but also for technical proficiency. At this point, a lack of defined hiring process to hire CUDA developers can lead to a wrong selection and an eventual loss of time, money, and resources.
So, what’s the solution? Is it possible to hire CUDA developers quickly and in a cost-effective way without compromising on quality?
The answer is yes.
Turing offers companies top remote CUDA developers pre-vetted to a high standard at half the price and within a span of 4 days. We select the best remote CUDA developers after testing their expertise in areas like graphic-intensive development, data structures, web services, different programming languages, and more. We also check their expertise in working with remote teams, good communication, and interpersonal skills, among others.
Companies can now build a team of top remote CUDA developers in just a few days with Turing.
Including top companies backed by: