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Arc helps you find and hire top freelance Parallel Computing engineers for your jobs. With 149 Parallel Computing programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Parallel Computing developers and experts that you can trust.

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Venkata P., Parallel Computing freelance developer
Venkata P.

Parallel Computing developer in India

A software developer by passion with interests in Distributed Systems, Database development, Software Architecture and Deep Learning. A continuous learning investing time in learning new technologies, reading research papers & technical blogs in the fields of interest. Just Started learning Rust.

Yacine O., freelance Parallel Computing programmer
Yacine O.

Freelance Parallel Computing developer in France

Highly skilled and motivated HPC engineer specialized in applications performance analysis and optimization on major European supercomputers. Experienced in parallel computing, MPI, OpenMP, HDF5, and performance analysis tools such as Score-P, Scalasca, Vtune, and PAPI. Proficient in C, Fortran, Python, C++, Java, and MATLAB programming languages. Committed to delivering efficient solutions that meet client requirements.

Evan F., Parallel Computing developer for hire
Evan F.

Freelance Parallel Computing developer in the United States

A dynamic, and highly motivated Consultant with a Computer Science and MBA degree. A Software Engineer and a Solutions Architect with the ability to apply core business management principles to software development; and design, describe, manage, and implement solutions. Whether you're trying to fix bugs, integrate components or APIs, reduce space and time complexity, speed up execution, cut costs, or even build out an entire system - I can help. I have multiple years of experience in: The development of High-Performance Computing applications on Linux and Unix platforms. The development of Multithreaded, Parallel, and Distributed Software Systems on Linux and Unix platforms.. Systems Performance analysis, latency reduction, and improvements employing concepts, strategy, tools( perf, BPF, profilers, etc), and tuning for Linux-based operating systems and applications. SQL development in Oracle, SQL Server, MySQL, and SQLite C++ and C development. Python, BASH, and Perl development. Socket, ASIO, libcurl/REST programming. Software Porting. Legacy system integration. API Integration. Enterprise application integration. Third-party system integration. H2O Machine Learning platform integration via Plumber/Swagger and R. Continuous Improvement; application of 6 Sigma/DMAIC (Define - Measure - Analyze - Improce - Control) to improve, optimize and stabilize software systems.on your premises and in the cloud. Project Management and Solutions Architecture. Solutions are paramount; anything can be solved, and there's always room for improvement. I am here to resolve issues, increase efficiency, reduce latency, increase uptime, innovate, build, and contribute to your bottom line. Customer satisfaction is my highest priority.

Janell G., freelance Parallel Computing programmer
Janell G.

Freelance Parallel Computing developer in the Philippines

Experienced Administrative, Project Sharing, and Commission Specialist with over 2 years and 8 months of experience in a real estate company. Known for a strong reputation in resolving problems and enhancing customer satisfaction. Proficient in project sharing and commission management, including the computation of owners' shares per project, business partners, and agents' commissions. Consistently recognized for performance excellence and contributions to industry success. Equipped with strengths and training in relevant areas of study. Enthusiastic and eager to contribute to team success through hard work, attention to detail, and excellent organizational skills. Possesses a clear understanding of tasks and training, with a strong motivation to learn and grow within the industry. Additionally, personable and knowledgeable IT support technician with over 1 year of experience assisting agents with various hardware and software issues. Provided in-depth technical support at a Tier 1 level, resolving 90% of issues without the need for escalation.

Jéssica P., Parallel Computing freelance developer
Jéssica P.

Freelance Parallel Computing developer in Brazil

Software Developer with background in Java and microservices architecture, complemented by a diverse range of technical roles across full-stack and backend development. Holding a Bachelor’s degree in Software Engineering and a postgraduate specialization in Artificial Intelligence, I am passionate about leveraging technology to solve complex problems. My career spans multiple roles in software development, from designing ERP systems using Java and Angular frameworks to optimizing legacy systems for enhanced scalability and performance. In addition to my professional experience, my final project in Software Engineering—focused on disease propagation modeling with the REPAST agent simulation platform—was awarded Best Paper in the Professional Category at the 15th Workshop on Agent Systems. This project, which was published and recognized for its innovation, reflects my commitment to impactful, research-driven solutions. I am skilled in a range of technologies, including React, Node, SQL Server, MySQL, and Oracle, and have developed a strong foundation in parallel and distributed systems through my experience as a university monitor. Eager to bring a unique blend of technical expertise, research aptitude, and a proactive approach to collaborative problem-solving, I am always excited to contribute to cutting-edge projects and drive meaningful results.

Preet P., freelance Parallel Computing developer
Preet P.

Freelance Parallel Computing developer in the United States

Data Scientist with 4 years of multidisciplinary experience using big data to tackle difficult & undefined problems. I will use my background in statistics, physics, analytics, programming, and ML/AI to take businesses objectives from end-to-end.

Paul R., Parallel Computing developer for hire
Paul R.

Freelance Parallel Computing developer

I have worked on a wide variety of projects, mainly in the scientific/engineering/medical fields, and am also experienced with real-time/embedded projects, often involving DSP, image processing, control systems, audio, communications, etc. I have extensive expertise in code optimisation (SIMD etc), and have spent time training and mentoring junior software engineers in programming, debugging and optimisation skills.

Dimitrios K., Parallel Computing freelance coder
Dimitrios K.

Freelance Parallel Computing developer in France

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.

Edgar G., freelance Parallel Computing developer
Edgar G.

Parallel Computing developer in Spain

Fullstack TS engineer with strong background in **maths** and **data**. Currently managing a team of 5 developers and in charge of the infrastructure and development of both a backend and front-end product. I have over **6 years of programming experience**, 2,5 years of research and internship experience with high performance computing and industrial programming (C & C#) and 3.5 years of professional experience within the web development ecosystem (TS, JS, React, Node, AWS and Docker mainly).

Mark M., Parallel Computing developer for hire
Mark M.

Freelance Parallel Computing developer in Ghana

With six years of experience, Mark has worked on high-profile projects for Porsche and various American, German, and Ghanaian firms. Holding a Computer Science and Mathematics degree, Mark excels in analytical thinking and problem-solving. Mark is suited for senior roles where he can lead and mentor, with expertise in mobile (Dart, Java, Kotlin, Swift), web (Java/Kotlin, Javascript/Typescript), DevOps, and Cloud technologies. Mark thrives in dynamic environments, collaborating effectively with teams to deliver scalable and efficient solutions. Passionate about computer vision and Natural Language, Mark contributed to the Ghana NLP Group, leading projects that improve educational outcomes. Mark is eager to bring his skills and leadership to a forward-thinking company, driving innovation and making a meaningful impact.

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FAQs

Why hire a Parallel Computing developer?

In 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 Parallel Computing 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 Parallel Computing developers can help keep your website up-to-date.

How do I hire Parallel Computing developers?

To hire a Parallel Computing 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 Parallel Computing developers effectively and efficiently. Hire full-time Parallel Computing 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 Parallel Computing 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Parallel Computing 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 Parallel Computing developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Parallel Computing developers?

There are two types of platforms you can hire Parallel Computing 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 Parallel Computing 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 Parallel Computing developers, consider niche platforms like Arc that naturally attract and carefully vet their Parallel Computing developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Parallel Computing developer candidates.

Some factors to consider when you hire Parallel Computing 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 Parallel Computing developers for hire.

How do I write a Parallel Computing developer job description?

Writing a good Parallel Computing developer job description is crucial in helping you hire Parallel Computing 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 Parallel Computing 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 Parallel Computing programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Parallel Computing engineer?

The top five technical skills Parallel Computing 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 Parallel Computing 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 Parallel Computing developers to keep up with evolving technology and requirements.

What kinds of Parallel Computing programmers are available for hire through Arc?

You can find a variety of Parallel Computing developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Parallel Computing programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Parallel Computing 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 Parallel Computing developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Parallel Computing developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Parallel Computing developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Parallel Computing developers.

Every Parallel Computing 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 Parallel Computing 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 Parallel Computing 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.

How does Arc vet a developer’s Parallel Computing skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Parallel Computing 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 Parallel Computing 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 Parallel Computing developers, you can rest assured that all remote Parallel Computing developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Parallel Computing developers on Arc?

Arc pre-screens all of our remote Parallel Computing developers before we present them to you. As such, all the remote Parallel Computing 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 350,000 candidates. You can also expect to hire a freelance Parallel Computing programmer in 72 hours, or find a full-time Parallel Computing 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 Parallel Computing developers.

How much does a freelance Parallel Computing developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Parallel Computing developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Parallel Computing 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 Parallel Computing 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.

How much does it cost to hire a full time Parallel Computing developer?

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 Parallel Computing 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 Parallel Computing developers, check out our FAQs page.

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