Optimize system performance for real-time directed energy applications.
•You'll own the architecture and performance of our full software stack as the Sr.
•Systems Performance Software Engineer.
•Key Responsibilities Architecture, performance and latency budget of the full platform, from sensing through actuation Kernel-level and driver-level coding across the stack Profile and eliminate latency across CPU, GPU, memory, and I/O boundaries Develop and optimize CUDA kernels for high-throughput, low-latency execution Tune memory access patterns (global, shared, unified) for bandwidth efficiency Requirements 4+ years in real-time systems or robotics software engineering with real hardware Expert-level modern C++ Driver-level and kernel-level coding experience CUDA kernel optimization for throughput and latency Deep understanding of GPU memory models (global, shared, unified memory)