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O, CUDA Developer

$10000/month
Last Job: 16 Oct 2023

- Experienced GPU software developer with a wide range of 3D and image processing applications for the medical, entertainment, security and civilian industries; - Experienced in 3D graphics, GPGPU and VR for both mobile platforms(iOS, Android, Quest, Magic Leap) and desktops(Windows, Linux, Mac). - Proficient in: Java, Objective-C, Swift, C++, C#, js, Python. - Developed with: OpenGLES 2.0, CUDA, DirectX11, Unity, Unreal Engine, opencv, Matlab, WebGL, ThreeJs. - Implemented Structured Light camera, worked on Time of Flight camera and multi rig active stereo solutions(arena). - 15+ years commercial experience

CUDA

CUDA

Java

Java

Objective-C

Objective-C

Swift

Swift

C++

C++

View O

Andriy L., CUDA Developer

$30/hr
Last Job: 4 Jul 2023
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

• 10+ year experience with JAVA and Linux operating systems: Java 11, Spring Boot, Spring Data JPA, MySQL/MongoDB, ElasticSearch, Jenkins CI • Big Data, Data Engineering, NLP, Corpus Linguistics, ML, DL • Design and implement a distributed warehouse system (AWS migration), REST API design and cache implementation (1,000-10,000 requests/sec), Design and implement high-load microservices • Deliver special courses devoted to concurrency and prepared handbook on “Parallel and Distributed Computations” [technologies: (basics of OpenMP, MPI, CUDA, OpenCL), advanced in Java concurrency]; • Scientific projects at university related research increasing effectiveness of crypto-analysis • Upper-Intermediate English • Available Full-time • Ready to start in 2 weeks • No scheduled vacations within next 3months

CUDA

CUDA

Java

Java   15 yr.

Hadoop ecosystem

Hadoop ecosystem

Python

Python   3 yr.

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Denys B., CUDA Developer

Last Job: 24 Oct 2023

- Senior Software Engineer with over 11 years of experience in full-cycle product development with video experience. - Proficient in multiple programming languages including C++17, C#, Golang, Python, and SQL. - Skilled in test-driven and behavior-driven development, with a focus on desktop and client-server application development for Windows, Linux, and Mac OS. - Experienced in cloud application development using microservice architecture, Docker, AWS, Kubernetes, and SQL/NoSQL databases. - Strong knowledge of Windows internals and driver development, including WinAPI, IPC, RPC, ATL/COM, KMDF drivers, and system services. - Expertise in reverse engineering for Windows and Mac OS, using tools such as IDA Pro, WinDbg, and HEX editors. - Proficient in data protection using system built-in and third-party crypto libraries like OpenSSL.

CUDA

CUDA

C++

C++

View Denys
5.0
Based on 9 reviews

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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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5.0
Based on 9 reviews
google
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FAQs on CUDA Development

What is a CUDA Developer? Arrow

A CUDA Developer is a specialist in the CUDA framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a CUDA Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened CUDA Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a CUDA Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on CUDA, then hiring a CUDA Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified CUDA Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a CUDA Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire CUDA Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire CUDA Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of CUDA Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a CUDA Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a CUDA Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is CUDA used?

How and where
  • Parallel Processing: Simulation of large-scale neural networks
  • Image Processing: Real-time facial recognition
  • Finance: High-frequency trading algorithms
  • Data Analytics: Accelerating machine learning algorithms
  • Scientific Research: Molecular dynamics simulations
  • Virtual Reality: Realistic rendering and physics simulations
  • Medical Imaging: MRI reconstruction and analysis
  • Cryptocurrency Mining: Bitcoin mining operations
  • Autonomous Vehicles: Processing data from sensors
  • Natural Language Processing: Speeding up text analysis algorithms

 

Compare Junior, Middle, Senior, and Expert/Team Lead CUDA Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-2 years
  • Assist in developing CUDA applications
  • Debug and optimize code
  • Collaborate with team members
$60,000
Middle2-4 years
  • Develop and implement CUDA algorithms
  • Lead small projects
  • Review code and provide feedback
$80,000
Senior4-6 years
  • Design complex CUDA solutions
  • Mentor junior developers
  • Lead project teams
$100,000
Expert/Team Lead6+ years
  • Architect CUDA frameworks
  • Define technical direction
  • Manage cross-functional teams
$120,000

 

Quick Facts about CUDA.

Facts about
  • Created in 2007 by NVIDIA, CUDA revolutionized parallel computing.
  • Popular for machine learning, data processing, and scientific simulations.
  • Entry level requires knowledge of C/C++ and parallel programming.
  • Commonly used alongside CUDA is OpenCL for cross-platform support.
  • Fun fact: The first version of CUDA was named “Compute Unified Device Architecture.”

 

TOP CUDA Related Technologies

Related Technologies
  1. CUDA Toolkit
  2. NVIDIA Nsight Eclipse Edition
  3. PyCUDA
  4. ArrayFire
  5. OpenCL

 

What are top CUDA instruments and tools?

Instruments and tools
  • CUDA-GDB: Debugger for CUDA applications by NVIDIA, released in 2007
  • Nsight Systems: NVIDIA’s system-wide performance analysis tool, released in 2019
  • Nsight Compute: Profiling tool from NVIDIA, released in 2019

 

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Maria Lapko
Global Partnership Manager