CUDA C++ Engineer

WE ARE LOOKING FOR

CUDA C++ Engineer

We are looking for CUDA C++ Engineer to our team. The ideal candidate will have a strong background in programming with C++ and experience in CUDA for developing high-performance applications. You will be responsible for optimizing existing code and designing new solutions that leverage parallel computing capabilities to enhance system performance.

Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, there’s a good team spirit, low-hierarchy and nonexistent bureaucracy. Our way of working is flexible too, many of our team work remotely from home with visits to our office from time to time when needed. This role is equally challenging, and as such we offer a very good compensation.

Key Responsibilities

• Develop and maintain applications using C++ and CUDA to ensure efficient use of GPU resources.
• Optimize algorithms and code for performance improvements, focusing on utilizing parallel processing capabilities.
• Analyze workload data and system performance metrics to identify bottlenecks and recommend enhancements.
• Collaborate with cross-functional teams to integrate CUDA applications within larger systems.
• Conduct testing and debugging to ensure the reliability and efficiency of applications. will have a strong background in programming with C++ and experience in CUDA for developing high-performance applications.
• You will be responsible for optimizing existing code and designing new solutions that leverage parallel computing capabilities to enhance system performance.
  
  

Required Qualifications

• Strong expertise in C++ programming.
• Experience in using CUDA for parallel programming, including experience with kernel writing, memory management, and optimization techniques.
• Ability to analyze and optimize code for performance using CUDA profiling tools and best practices.
• Excellent analytical and problem-solving skills, with a focus on finding innovative solutions to complex challenges.
• Conduct performance testing and benchmarking to validate optimization strategies.