KLA HPC Optimization Engineer 

United States, Michigan, Ann Arbor 

638128053

Qualifications

• Analyze and profile HPC applications to identify performance bottlenecks.
• Develop and implement optimization strategies, including code parallelization, memory management, and algorithmic improvements.
• Work with hardware vendors and software developers to optimize application performance on specific HPC architectures.
• Collaborate with research teams to understand their computational needs and translate them into technical requirements.
• Stay abreast of the latest advancements in HPC hardware, software, and optimization techniques.

• PhD or Masters Degree or a related field with a strong focus on Computational Fluid Dynamics (CFD).
• Experience with SLURM workload manager and Python for scripting and automation.
• Proficiency in programming languages such as Python, C/C++ or Fortran
• Experience with profiling and debugging tools (e.g., Intel VTune, NVIDIA Nsight, or similar).
• Demonstrated ability in HPC optimization and performance analysis with a consistent record of optimizing large-scale scientific simulations.
• Deep understanding of parallel programming paradigms (e.g., MPI, OpenMP, CUDA).
• Knowledge of sophisticated computer architectures (e.g., GPUs, FPGAs, hybrid systems).

• Experience with specific CFD software packages (e.g., ANSYS Proficient, OpenFOAM).
• Familiarity with machine learning techniques for HPC optimization.
• Experience with containerization technologies (e.g., Docker, Apptainer, Kubernetes).

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

or at +1-408-352-2808