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Vetted CUDA developer in the United States (UTC-5)
Experienced full-stack, database, mobile, and more recently blockchain developer with a foundation in security and Linux/Unix systems. Proficient across the stack, including developing advanced database schemas and performant SQL queries, to building CI/CD pipelines, container orchestration, and working with cloud infrastructure (AWS, Google Cloud). Backend: Began my development career with vanilla PHP and MySQL, and then transitioning to frameworks like Zend and Laravel. Gained extensive experience with Ruby on Rails and PostgreSQL during a project with Pivotal Labs. More recently, my work has centered around Rust-based axum/sqlx, but also have a lot of experience working with Node. Database: Primarily focused on PostgreSQL, with extensive experience in designing advanced schemas, optimizing queries, and developing stored procedures (PL/pgSQL). Also, skilled at using window functions, CTEs, and custom views. Additionally experienced with TimescaleDB, MySQL, MongoDB, and ElasticSearch across various projects. Frontend: Worked with plain JavaScript early on, and then with libraries like jQuery and Knockout. Currently focused on React, React Native, and Vue including use with TypeScript. Adaptable to evolving frontend ecosystems with a deep understanding of maintainable and modular UI architectures. Mobile: Developed and published numerous applications for iOS written natively in Objective-C and Swift, including porting an app from Blackberry. Have also developed cross platform apps for Android & iOS with React Native. DevOps: Over 20 years of experience working with various flavors of Unix including Linux, \*BSD, Solaris, etc from system administration to developing rootkits and patching kernels. Currently specializing in containerization with Docker and orchestration tools. Managed several cloud-based project environments using AWS and Google Cloud services, with attention to cost-efficiency and security.
Vetted CUDA developer in Japan (UTC+9)
Hello everyone, I have been working in the CS industry for ~10 years. I have mainly been working on back-end and research oriented projects involving image processing. If you are looking for understanding how computers work at a deep level (as far as assembly), or want to know how big tech companies (such as Amazon) scale their projects, then I have knowledge to share with you!
Vetted CUDA developer in the United States (UTC-4)
A seasoned technology executive adept at leading transformative projects across IoT, AI, Cloud, and Mobile. My technological proficiency spans AWS, Azure, C#, and TypeScript. With a track record of escalating a startup from inception to a $7.3M venture, my leadership has been both technically and strategically instrumental. Achievements: * Propelled a startup from 0 revenue to $7.3M, growing the team from 1 to 66. * Positioned the company among the top 10 in Belarus per Qualified Digital Review. * Pioneered the Heart Coach mobile application, a white label solution addressing high blood pressure and type 2 diabetes, achieving top 50 in App Store's medical category in 2023. Manoa App End-to-end involvement in software development, combined with AI expertise and DevOps skills, empowers me to deliver scalable and high-performing solutions. Passionate about harnessing the latest innovations, I'm poised to collaborate and craft impactful tech solutions.
Vetted CUDA developer in the United States (UTC-5)
I am a skilled software engineer with experience in frontend development, 3D design, and data visualization. Proficient in JavaScript, Java, HTML, CSS, and various graphic and database technologies.
Vetted CUDA developer in the United States (UTC-7)
I am a Machine Learning Engineer with expertise in TensorFlow, PyTorch, and various ML models. I have led projects in ID verification, fraud detection, and chatbot development, achieving significant improvements. My educational background includes a Master's in Machine Learning.
Vetted CUDA developer in France (UTC+1)
I am a Software Engineer with a MSc degree in Computational Physics and extensive experience in performance and quality driven development. I am fluent in English, Greek and French and have been working with teams remotely around the globe for many years. I have expertise in the GNU toolchain, C++, C, CUDA and Python, which I have applied over the years on research and commercial software. I am passionate about developing parallel and performant algorithms and working on simulation/numerical code, which I have been working on for more than 10 years. I enjoy working with multicultural teams and learning new technologies. I adapt to new programming languages and frameworks easily and while I have only mentioned the proficient programming languages I have also worked in Fortran, Java and Matlab, as well as creating interfaces between them and other languages, or porting projects from one to another.
Vetted CUDA developer in Australia (UTC+11)
Expert in development of fast and reliable applications for high frequency trading and signal processing; distributed systems; audio/video; machine learning. * 10+ years experience with C/C++ backend, React frontend * Proficient in low-level optimizations including development of CUDA kernels, AVX2 optimizations and VHDL/FPGA development.
Vetted CUDA developer in Armenia (UTC+4)
As an accomplished Senior Software Engineer and Technology Leader with over a decade of experience in embedded/desktop/web development, I have demonstrated success in leading technical teams, driving impactful projects, and delivering high-quality software solutions. I am known for my strong leadership, communication, and problem-solving skills, effectively conveying high-level concepts and technical details. I am dedicated to continuous learning, professional and mental growth, and actively share knowledge and mentor others to foster a culture of sharing and learning.
Vetted CUDA developer in Ireland
Software engineer with 10+ years experience mostly with C++, algorithms. Designed softwares (used design patterns and OOP). Optimized algorithms to parallel systems to CPU and to GPU also. To GPU: mostly with Cuda (runtime- and driver API) and I used OpenCl too.
Vetted CUDA developer in Greece (UTC+2)
I’m passionate about computer architecture design, distributed computing, HPC and anything related to low-level engineering or requiring to achieve low latency performance. For programming languages I’m using C, C++-17/20 and Python3 on a daily basis. From time to time I also implement CUDA kernels. My preferred compiler is clang along with its tools (clang-tidy and so on) and for build systems I prefer to use Makefiles/CMAKE or Meson+Ninja. I'm comfortable writing assembly in any architecture and I’m familiar with Vector extensions for various architectures(x86/64, Risc5, ARM). In general I have a solid understanding of the underlying hardware components and how to utilize them for performance gains. This also includes concurrency, synchronization primitives and crafting bare metal kernels. In the past I also had to implement compiler infrastructures (including JIT using LLVM-C++-API) for various architectures and emulators. **Finally, one of my #1 skills is that I have many years of different startup environment experience. I believe startups are the best way to progress fast in your career as long as you are able to absorb and process the massive amount of information broadcasted. In the end a startup is no different than a big corporation without the available resources.**
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Get startedIn today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a CUDA developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote CUDA developers can help keep your website up-to-date.
To hire a CUDA developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire CUDA developers effectively and efficiently. Hire full-time CUDA developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance CUDA engineers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted CUDA developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right CUDA developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire CUDA programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find CUDA developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote CUDA developers, consider niche platforms like Arc that naturally attract and carefully vet their CUDA developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote CUDA developer candidates.
Some factors to consider when you hire CUDA developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find CUDA developers for hire.
Writing a good CUDA developer job description is crucial in helping you hire CUDA programmers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote CUDA developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire CUDA programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills CUDA developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable CUDA developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for CUDA developers to keep up with evolving technology and requirements.
You can find a variety of CUDA developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance CUDA programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote CUDA developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready CUDA developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled CUDA developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire CUDA developers.
Every CUDA developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in CUDA and breadth across the greater domain). Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified CUDA engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted CUDA developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified CUDA developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire CUDA developers, you can rest assured that all remote CUDA developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote CUDA developers before we present them to you. As such, all the remote CUDA developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance CUDA programmer in 72 hours, or find a full-time CUDA programmer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote CUDA developers.
Depending on the freelance developer job board you use, freelance remote CUDA developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find CUDA developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire CUDA developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote CUDA developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring CUDA developers, check out our FAQs page.