Job Description

This is a full-time remote role for a Senior CUDA Developer. The Senior CUDA Developer will be responsible for developing and optimizing CUDA code for high-performance computing applications. They will work on a range of projects that involve Machine Learning, Image Annotation, Video Annotation, and Data Processing.

Responsibilities:

• Design, develop, and optimize GPU-accelerated applications using NVIDIA CUDA.
• Implement and optimize parallel computing algorithms for performance and efficiency.
• Collaborate with software teams to integrate GPU solutions into existing systems.
• Analyze application performance and identify bottlenecks in GPU workloads.
• Implement techniques to maximize GPU utilization, memory bandwidth, and computational efficiency.
• Debug and profile GPU applications using tools like NVIDIA Nsight, Visual Profiler, or equivalent.
• Work closely with cross-functional teams, including data scientists, AI researchers, and system engineers, to deliver robust solutions.
• Mentor junior developers on CUDA programming and parallel computing best practices.
• Provide technical expertise in GPU architectures and CUDA advancements.
• Stay up to date with the latest developments in CUDA, GPU hardware, and parallel computing technologies.
• Propose innovative solutions to improve the performance and scalability of applications.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in CUDA programming and GPU development.
• Proven track record of developing and optimizing GPU-based applications in production environments.

Technical Skills:

• Deep understanding of CUDA C/C++ programming and GPU architectures (NVIDIA GPUs).
• Experience with parallel programming concepts, including thread management, memory models, and synchronization.
• Proficiency in performance profiling and debugging tools for CUDA.
• Familiarity with related libraries/frameworks, such ascuDNN,cuBLAS, orTensorRT.
• Knowledge of Python or other scripting languages for data processing and testing.
• Experience in integrating GPU-accelerated solutions in AI, HPC, or real-time systems is a plus.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and lead a team when needed.

Interested candidates can apply online or email your CV to [email protected]