CUDA Software Engineer (Part-Time)

 

 

We are seeking a highly skilled and motivated Software Engineer (3-5 years of experience) to join me working on a Data Center Observability and Analytics Platform.

 

In this role, you will be responsible for code reviews, optimizations, and contributions to existing CUDA-based codebase to enhance the platform's performance, scalability, and efficiency. This is not a development job but only code review, writing a report for code flow, report on optimal and efficiencies of the codebase [there is no code to write].

 

• Code Reviews:Conduct thorough code reviews for CUDA-based implementations to ensure high performance, reliability, and adherence to best practices.

• CUDA Optimization: Suggest optimization and efficiency steps for the CUDA code to accelerate analytics, observability, and data processing within the platform.

• Performance Tuning: Focus on optimizing data processing pipelines using GPU acceleration, ensuring low latency, high throughput, and scalability across large-scale data centers.

• Platform Improvements: Identify and implement performance bottlenecks in the existing codebase and suggest architectural improvements related to GPU acceleration.

• Documentation: Provide clear documentation for the CUDA codebase and any optimizations or architectural changes made to the platform.

 

• Experience: 3-5 years of experience as a Software Engineer with hands-on experience in CUDA programming and GPU-based optimizations.

 

• o Strong proficiency in C/C++ programming, with a focus on performance-critical applications.

o Solid experience with CUDA development and optimizing code for GPU performance.

o Familiarity with GPU libraries like cuBLAS, cuDNN, or similar, as well as tools for profiling and debugging CUDA code.

o Experience with data center observability, monitoring, or analytics platforms is a plus. o Proficient with parallel computing concepts and multi-threading in GPU and CPU environments.