Arc helps you find and hire top freelance GPU engineers for your jobs. With 450,000+ software 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 GPU developers and experts that you can trust.
Vetted GPU developer in the United States (UTC-4)
Machine Learning Engineer and Data Scientist with 9 years of experience in the field and a passion for enabling speed, scale, and quick feedback loops for data practitioners. My experience varies across designing and deploying infrastructure, building robust data pipelines, creating systems for developing, deploying, and monitoring models, and leading cross-functional teams in designing Machine Learning systems for production.
GPU developer in the United States (UTC-8)
7+ YOE Software Engineer who bootstrapped and scaled a SaaS platform to 2M+ users with experience at Google Cloud. Expertise in full stack development, cloud infrastructure, and AI integration. Ready to elevate your team's product, tech infrastructure, and business growth.
GPU developer in the United States (UTC-7)
Software engineer and engineering team lead with experience across hardware and software systems. Over nine years into my professional journey, I've had the privilege to build and deploy products aligned with my passion at the intersection of sensing, robotics, computer vision, and computer graphics.
GPU developer in the United States (UTC-8)
I'm a Machine Learning Engineer with 3 years of experience. I’ve built data pipelines, optimized databases, built and deploy ML models. I enjoy taking impactful initiatives, like reviewing the team's cloud usage and cut cost by 40%. I’m all about solving problems and building practical solutions.
GPU developer in Germany (UTC+1)
Software Engineer with broad experience in enterprise Windows based solutions. 20 years of total programming practice (9 years Delphi, 15 years .NET technologies, over 15 years of C++). Over 8 years of team leadership (up to 7 people in a team). Over 40 finalized projects (small to large sized) and 5 years of networks and systems administration. “Can do” approach.
GPU developer in the United Arab Emirates (UTC+4)
An acccomplished AI leader with proven experience in pioneering data science incubators and building scalable AI/ML solutions in Fortune 500 companies. Adept in steering the AI and Generative AI (GenAI) strategy, from use-case discovery to responsible implementation and deployment. Experience in building global data science teams including hiring, mentoring, and fostering technical excellence. Deep practical knowledge of the full life cycle of AI and GenAI, with proficiency in communicating complex AI concepts from developers to executives.
GPU developer in Poland (UTC+1)
I am a skilled DevOps professional with expertise in cloud technologies, programming, database management, automation, and AI. I have certifications in Azure and MSSQL, and experience in freelance contracting and corporate environments.
GPU developer in Brazil (UTC-3)
Python | Scala | LLM | Langchain | Machine Learning | Data Scientist | Computer Vision Passionate Data Scientist and Computer Vision Engineer with a proven track record of leveraging machine learning to create value-driven solutions that enhance company outcomes and customer experiences. Specializing in insurance underwriting models, I have demonstrated adaptability and a keen interest in exploring new domains. My expertise lies in building robust Python and Scala applications for diverse purposes, including production line inspections where I develop applications that capture real-time images from cameras, extracting crucial data for quality assurance and production metrics. Key Areas of Expertise: Data Science: Proficient in both Supervised and Unsupervised Learning, with a strong background in recommenders, forecasting, classification, and anomaly detection. Computer Vision: Skilled in image classification and object detection using Pytorch and TensorFlow, and experienced in utilizing OpenCV for various vision tasks. LLM: Utilizing LLM in conjunction with Langchain for RAG systems, focusing on task automation and interactions with APIs. Knowledge in: MLOps, Deep Learning, NLP, BI with Power-BI, and Insurance Underwriting Models. Main Tools: Python, Scala, Jupyter Notebooks, VS Code, Git, Numpy, Pandas, Sklearn, Pytorch, Airflow, DVC, MLFlow, Docker, OpenCV.
GPU developer in Bangladesh (UTC+6)
Backend-Heavy Fullstack Developer with 4 years of professional experience. Skilled in Python, FastAPI, Flask, Node.js, Javascript, Typescript, REST/RESTful APIs, GraphQL, Flutter and React. A good problem solver and competitive programmer. Certified AWS Solution Architect and GCP Cloud Engineer with expertise in cloud technologies. Writing bug-free, efficient, and clean code, which can be easily extended and reused in any project. Always pushing myself to the edge to achieve the best possible result. I have worked on various projects involving cloud infrastructure, microservices, and testing automation.
Vetted GPU developer in India (UTC+6)
Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 GPU 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 GPU developers can help keep your website up-to-date.
To hire a GPU 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 GPU developers effectively and efficiently. Hire full-time GPU 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 GPU 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 GPU 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 GPU developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire GPU 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 GPU 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 GPU developers, consider niche platforms like Arc that naturally attract and carefully vet their GPU developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote GPU developer candidates.
Some factors to consider when you hire GPU 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 GPU developers for hire.
Writing a good GPU developer job description is crucial in helping you hire GPU 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 GPU 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 GPU programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills GPU 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 GPU 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 GPU developers to keep up with evolving technology and requirements.
You can find a variety of GPU developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance GPU programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote GPU 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 GPU 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 GPU developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire GPU developers.
Every GPU 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 GPU 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 GPU 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 GPU 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 GPU 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 GPU developers, you can rest assured that all remote GPU 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 GPU developers before we present them to you. As such, all the remote GPU 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 GPU programmer in 72 hours, or find a full-time GPU 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 GPU developers.
Depending on the freelance developer job board you use, freelance remote GPU developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find GPU 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 GPU 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 GPU 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 GPU developers, check out our FAQs page.