Job Brief
We are looking for a seasoned Developer with deep expertise in C++, CUDA programming, and Linux environments to provide technical leadership and drive the development of advanced solutions in device integration and high-performance computing.
Responsibilities
• Immediate Joiners only, candidate should join within 15 days
• Work Mode – Work from Office
• Develop high-performance applications using C++ and CUDA
• Implement parallel GPU algorithms to speed up computations.
• Optimize CUDA kernels for speed, scalability, and memory use.
• Identify bottlenecks and suggest performance improvements.
• Review code for quality and adherence to standards.
• Create and run tests to validate functionality and performance.
• Collaborate with engineering and research teams on requirements.
• Mentor junior developers and offer technical guidance.
• Write and update design specs and user documentation.
Requirements
• Skilled in modern C++ standards including C11, C14, C17, and C20
• Experienced in building, debugging, and optimizing CUDA applications
• Familiar with CUDA memory hierarchy, shared memory, streams, and warp-level operations.
• Strong grasp of parallel algorithms and multi-threaded programming.
• Solid foundation in linear algebra, calculus, and numerical methods.
• Proficient with tools like Nsight, CUDA Memcheck, and other profiling utilities