We are seeking an experienced Lead HPC / CUDA Optimization Engineer with strong expertise in modern C++, CUDA, GPU computing, and performance optimization for large-scale scientific and engineering applications. In this role, you will remain highly hands-on while also providing technical leadership, mentoring engineers, and helping drive architectural and performance-related decisions across the team.
Design, develop, and optimize CUDA kernels for large-scale scientific and engineering applications Analyze and improve GPU performance using profiling tools to identify and resolve bottlenecks Develop and maintain high-performance C++ and Python code for performance-critical, high-load systems Collaborate with cross-functional teams to architect scalable and efficient software solutions Debug complex performance and memory issues across GPU architectures and distributed systems Research and apply best practices in HPC, numerical methods, and GPU computing to improve existing codebases Provide technical leadership and guidance on GPU optimization, performance engineering, and software architecture Drive engineering best practices and contribute to technical decision-making for HPC and GPU-accelerated solutions
8+ years of professional experience with C++ and Python development Deep knowledge of CUDA, GPU architecture, PTX, memory hierarchy, and kernel optimization Experience with GPU profiling, performance analysis, and bottleneck identification Expe