Algorithm Software Architecture

About the role

The Film and Scatterometry Technology (FaST) Division within KLA is seeking a Senior Algorithm Software Architect to lead the design and delivery of GPU-accelerated, high-performance computing software.

Responsibilities

• Own the end-to-end software architecture for HPC/GPU platforms (services, libraries, data pipelines, deployment)
• Lead technical strategy, decision records, define candidate architectures, lead design reviews and drive decisions; drive clear trade-offs for performance, reliability, and maintainability
• Design and implement GPU kernels and frameworks (e.g., CUDA, OpenCL, NCCL), optimizing for throughput, latency, and memory use
• Guide parallel and distributed computing patterns (MPI, multi-GPU scaling, heterogeneous compute)
• Establish performance engineering practices: profiling, benchmarking, regression performance gates (Nsight Systems/Compute, nvprof)
• Collaborate across functions; convert requirements into clear technical plans, roadmaps, and measurable outcomes
• Mentor engineers; provide technical leadership on design, delivery, and career growth
• Communicate architecture, risks, and status to executives and stakeholders with clarity and candor.

Qualifications

• 10+ years in software engineering; 5+ years in software architecture for HPC or large-scale systems
• Expert in C++ (17/20) and one scripting language (Python preferred)
• GPU programming expertise (CUDA, OpenCL); strong knowledge of GPU memory hierarchies, streams, occupancy
• Hands-on with parallel/distributed stacks (MPI, NCCL, gRPC) and Linux performance tooling
• Experience with cluster orchestration (Slurm, Kubernetes), CI/CD, and containerization (Docker)
• Track record of technical leadership and exceptional communication with cross-functional teams

Nice-to-Have

• Multi-node, multi-GPU scaling
• Mixed precision
• Numerical methods and algorithms
• Experience with H200/H100/A100/L40S-class accelerators and modern profiling workflows

Minimum Qualifications

• Doctorate (Academic) Degree and related work experience of 3 years
• Master's Level Degree and related work experience of 6 years
• Bachelor's Level Degree and related work experience of 8 years