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Hire the Top 3% of GPU Engineers

Hire vetted GPU engineers on demand. Leading companies choose GPU freelancers from Toptal for their most important development projects.

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Clients rate Toptal GPU engineers 4.9 / 5.0 on average based on 654 reviews.
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Stephanie Suzanne Sohn

GPU Engineer
UTC-08:00
United States
Toptal Member Since December 22, 2025

Stephanie is a senior software engineer with expertise in embedded, parallel processing, and tool development. She held multiple positions writing software related to hardware development, ensuring functionality and improving performance, including artificial intelligence (AI), camera, graphics, high-performance computing (HPC), networking, compression, and encryption. Stephanie's an expert in developing tools and user interfaces for automation, data visualization, and performance analysis.

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Robert Meeker

GPU Engineer
UTC-06:00
United States
Toptal Member Since January 5, 2026

Robert is a hardware architect with deep expertise in CPU, GPU (SIMT), SIMD, and NoC architectures, spanning hardware micro architecture implementation and software and hardware interfaces. He specializes in performance, power, and area optimizations, functional verification, FPGA/emulation, and silicon bring-up. Robert has contributed to NVIDIA's first CUDA-enabled Fermi GPU and led architecture and implementation for GPUs, SoCs, and ASICs across high-performance computing and AI workloads.

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Deepak Arora

GPU Engineer
UTC-06:00
United States
Toptal Member Since September 23, 2026

Deepak is an AI systems architect and forward deployed engineer with 20+ years of experience. At SwifTrade, he translates business challenges into production AI solutions, building LangGraph multi-agent, RAG, and automation systems that scaled fulfillment 6.6x. At Verizon, he built GPU-based Whisper ASR and LLM pipelines across 4M+ devices. He specializes in agentic AI, RAG, LLMs, CUDA inference, and AI architecture.

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Julien Olivier

GPU Engineer
UTC-05:00
Canada
Toptal Member Since September 22, 2026

Julien is a senior software architect with 30 years of experience, specializing in web browser internals, GPU rendering engines, and deep-tech systems for clients like Ubisoft, Poietis, and Sunna Design. He has refactored a 1.8-million-line WebKit codebase at Ubisoft to improve memory efficiency. As an inventor with 20+ multi-touch patents, Julien possesses elite C++ expertise, ranging from custom operating system and compiler creation to synthesizing custom CPU/GPU silicon on an FPGA.

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Todd Eaglin

GPU Engineer
UTC-05:00
United States
Toptal Member Since May 20, 2026

Todd is a machine learning and computer vision engineer with 12 years of experience building and shipping production AI systems across edge, mobile, and cloud environments. With a PhD in computer science, he brings deep expertise in machine learning, real-time perception, computer vision, and translating advanced research into deployed products.

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Dr. Viliam Rapčan

GPU Engineer
UTC+01:00
Slovakia
Toptal Member Since March 31, 2025

Viliam has extensive experience in architecting and implementing private and hybrid cloud environments. He has a strong background in virtualization (KVM), containerization (Kubernetes), and the design of services for GPU-accelerated AI workloads, software-defined networks (SDN), and software-defined storage platforms (SDS). Viliam has a proven ability to deliver scalable, sustainable, secure, and cost-effective infrastructures that support enterprise growth and operational excellence.

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Aliaksandr Valshtein

GPU Engineer
UTC+02:00
Israel
Toptal Member Since February 10, 2022

Aliaksandr is a Senior Python backend engineer with 9 years of experience building production services, data pipelines and AI/ML infrastructure, from TensorFlow model serving and NVIDIA GPU containers to gRPC microservices on Kubernetes. He has a track record of reviving ownerless legacy code and stabilizing failing services, including a 60% cut in a service’s memory use and ~10× faster deployments. Strong in system design, parsers and data processing, CI/CD, Docker and AWS/Azure.

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Ghazanfar Abbas

GPU Engineer
UTC+05:00
Pakistan
Toptal Member Since November 23, 2023

Ghazanfar is a software engineer with over 11 years of experience building high-performance applications in the domains of image processing, computer vision, machine learning, and IoT. He specializes in developing and optimizing algorithms with a focus on GPU-based massive parallelism—such as CUDA and OpenCL—using C++ and Python. Ghazanfar also has extensive experience with SDK development and deployment of end-to-end data processing pipelines on cloud platforms.

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Pritha Guha

GPU Engineer
UTC+05:00
India
Toptal Member Since March 4, 2026

Pritha is a senior MLOps, SRE, and cloud platform engineer with 11+ years building production infrastructure on AWS, GCP, and Kubernetes. Experienced in fast-paced SaaS startups and large enterprises, she owned end-to-end infrastructure, including MLOps stack (Kubeflow, KubeRay, KServe, GPU, RAG pipelines, agentic AI, Amazon Bedrock, Gemini). She’s cut costs by 60% and Kubernetes upgrade downtime by 97%, and increased PostgreSQL throughput by 40%. She's led SOC 2 Type II compliance end-to-end.

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Jalil Seidu

GPU Engineer
UTC+09:00
Japan
Toptal Member Since March 16, 2026

Jalil is a cloud and DevOps infrastructure engineer specializing in Kubernetes platforms, Terraform automation, and multi-cloud environments across Google Cloud, AWS, and Azure. He has built and operated large-scale infrastructure supporting GPU-accelerated machine learning workloads, CI/CD platforms, and highly scalable cloud systems that improve reliability, performance, and deployment speed.

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Ingyu Koh

GPU Engineer
UTC+09:00
South Korea
Toptal Member Since September 4, 2026

Ingyu is a quantitative researcher and systems builder with 30+ years of experience in computational and statistical research, including a decade in low-latency trading and scientific AI. He analyzes problems before proposing solutions and is clear about what evidence can support. His expertise spans market microstructure, GPU backtesting, and deep learning for scientific and medical imaging.

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Toptal in the press

... allows corporations to quickly assemble teams that have the right skills for specific projects.

Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

Our clients
Creating an app for the game
Conor Kenney
Creating an app for the game
Leading a digital transformation
Elmar Platzer
Leading a digital transformation
Building a cross-platform app to be used worldwide
Building a cross-platform app to be used worldwide
Drilling into real-time data creates an industry game changer
Drilling into real-time data creates an industry game changer
Testimonials

How to Hire GPU Architects Through Toptal

1

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-selected Talent

Within days, we’ll introduce you to the right GPU developer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new GPU engineer for a trial period (pay only if satisfied), ensuring they’re the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of GPU Engineers

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

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FAQs

  • Typically, you can hire GPU engineers with Toptal in about 48 hours. For larger teams of talent or full end-to-end project delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your GPU engineer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right GPU architect, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect GPU engineers for your project.

  • At Toptal, we thoroughly screen our GPU developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire GPU developers with Toptal, you’ll always work with world-class, custom-matched GPU engineers ready to help you achieve your goals.

  • You can hire GPU engineers on an hourly, part-time, or full-time basis. Toptal can also manage the project end-to-end based on your specific requirements as part of our Consulting and Services offerings. Whether you hire a GPU engineer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our GPU engineers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your GPU engineer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another GPU engineer who may be a better fit and with whom we will begin a second, no-risk trial.

Toptal Lets You Hire Fast,
With Unparalleled Success

  • Trusted Talent Only

    Trusted Talent Only

    Our talent network is composed of thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.

  • Precise Matching

    Precise Matching

    Our experienced talent matchers specialize in identifying talent that fits your needs. They work to understand your exact requirements and hand-select the best professionals for your project.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.

  • No-risk Trial Period

    No-risk Trial Period

    We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.

  • Effortless Scaling

    Effortless Scaling

    We help you scale your team up or down as needed, with quick and efficient hiring in under 48 hours.

  • Flexible Engagements

    Flexible Engagements

    Our flexible engagement models allow you to choose the engagement type that suits your needs and adjust it anytime: hourly, part time, or full time.

Top GPU Engineers Are in High Demand.

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