GPGPU developer

A GPGPU developer designs and implements software that leverages the parallel processing capabilities of a Graphics Processing Unit (GPU) for general computing tasks, beyond just computer graphics. They optimize algorithms, manage data transfers between CPU and GPU, and ensure efficient usage of GPU resources. Their work involves understanding hardware architecture, using programming languages like CUDA or OpenCL, and debugging and profiling GPU code. They also work on enhancing the performance of applications in various domains, such as machine learning, scientific computation, image processing, and real-time systems, by exploiting the high computational power of GPUs.

Reduced time to market for your product

Huge savings in development costs

Improved customer satisfaction and retention due to higher quality products

Save time and money with our talented team of developers

Build your app quickly and easily

Forget about the long process of searching for a developer through hours of interviews

GPGPU developer

Hiring a GPGPU developer is beneficial for businesses dealing with complex computational tasks. They specialize in using General-Purpose computing on Graphics Processing Units (GPGPU), which enhances the speed and efficiency of data processing. This capability is crucial for fields like machine learning, scientific computing, and video rendering. Their skills can transform your business operations, making them much faster and more efficient, enabling you to handle big data and high-performance applications with ease. A GPGPU developer can therefore help your company stay competitive in a data-driven market.

Uday Kumar

IT/Programming

GPGPU,

Git,

JavaScript,

PostgreSQL,

Python,

SQL

Yuri Kazaryan

IT/Programming

GPGPU,

Agile,

Jira,

Project Management,

Atlassian Confluence,

IT Management,

Team Lead,

ITIL,

Pmbok,

Team Building

Sohaib Anwaar

IT/Programming

GPGPU,

Django,

Git,

MongoDB,

PostgreSQL,

Python,

SQL

Avag Khamalyan

IT/Programming

GPGPU,

MS SQL Server,

SSIS,

T-SQL

Samir Aghayarov

IT/Programming

GPGPU,

AWS,

Docker,

Hibernate,

Integration Testing,

Java,

Microservices,

MongoDB,

PostgreSQL,

Postman,

SQL,

Unit Testing,

Data Structures,

Design Patterns,

ELK,

Grafana,

IntelliJ IDEA,

JPA,

Kubernetes,

Spring Boot,

Spring Data,

Algorithms and data structures,

Performance Testing,

Event Management

Vladimir Kravtsov

IT/Programming

GPGPU,

Apache,

MSSQL,

PostgreSQL,

Python,

Selenium,

SQL,

Tableau,

pandas,

Power BI

Uday Kumar

IT/Programming

GPGPU,

Git,

JavaScript,

PostgreSQL,

Python,

SQL

Yuri Kazaryan

IT/Programming

GPGPU,

Agile,

Jira,

Project Management,

Atlassian Confluence,

IT Management,

Team Lead,

ITIL,

Pmbok,

Team Building

Sohaib Anwaar

IT/Programming

GPGPU,

Django,

Git,

MongoDB,

PostgreSQL,

Python,

SQL

Avag Khamalyan

IT/Programming

GPGPU,

MS SQL Server,

SSIS,

T-SQL

Samir Aghayarov

IT/Programming

GPGPU,

AWS,

Docker,

Hibernate,

Integration Testing,

Java,

Microservices,

MongoDB,

PostgreSQL,

Postman,

SQL,

Unit Testing,

Data Structures,

Design Patterns,

ELK,

Grafana,

IntelliJ IDEA,

JPA,

Kubernetes,

Spring Boot,

Spring Data,

Algorithms and data structures,

Performance Testing,

Event Management

Vladimir Kravtsov

IT/Programming

GPGPU,

Apache,

MSSQL,

PostgreSQL,

Python,

Selenium,

SQL,

Tableau,

pandas,

Power BI

Uday Kumar

IT/Programming

GPGPU,

Git,

JavaScript,

PostgreSQL,

Python,

SQL

Yuri Kazaryan

IT/Programming

GPGPU,

Agile,

Jira,

Project Management,

Atlassian Confluence,

IT Management,

Team Lead,

ITIL,

Pmbok,

Team Building

Sohaib Anwaar

IT/Programming

GPGPU,

Django,

Git,

MongoDB,

PostgreSQL,

Python,

SQL

Avag Khamalyan

IT/Programming

GPGPU,

MS SQL Server,

SSIS,

T-SQL

Samir Aghayarov

IT/Programming

GPGPU,

AWS,

Docker,

Hibernate,

Integration Testing,

Java,

Microservices,

MongoDB,

PostgreSQL,

Postman,

SQL,

Unit Testing,

Data Structures,

Design Patterns,

ELK,

Grafana,

IntelliJ IDEA,

JPA,

Kubernetes,

Spring Boot,

Spring Data,

Algorithms and data structures,

Performance Testing,

Event Management

Hiring a General-Purpose computing on Graphics Processing Units (GPGPU) developer can provide a significant boost to a company's technological capabilities. Firstly, GPGPU developers can enhance computing speed, as they are skilled in leveraging the high parallel processing power of GPUs, which can execute thousands of threads simultaneously. This allows for faster data processing and real-time analytics, which can be crucial in fields like AI, machine learning, and big data.

Secondly, GPGPU developers can bring about cost efficiency. GPUs are generally more cost-effective than CPUs when it comes to high-performance computing, as they deliver more performance per unit of power and per dollar spent. Consequently, businesses can achieve more with less investment in hardware resources.

Thirdly, GPGPU developers can help in tackling complex computational problems. They are proficient in programming languages like CUDA and OpenCL, which are designed to handle sophisticated mathematical and scientific computations. This can be particularly beneficial in industries like finance, healthcare, and research where complex algorithms are used.

Lastly, GPGPU developers can contribute to innovation and competitive advantage. Their skills can be instrumental in developing cutting-edge applications, like deep learning models, graphics, and advanced simulations, giving a company an edge over its competitors.

Only the best and the most experienced IT professionals

Selection process is free of charge

Reduced operating costs

Each professional has been selected for the highest level of expertise

No workplace expenses

Free replacement of the specialist at the request of the customer

Professional's specific field of expertise