HPC Optimization Engineer

Job Description

Support engineers on scientific research and technological innovation by optimizing high-performance computing (HPC) applications related to Computational Fluid Dynamics (CFD).

Requirements

• PhD or Masters Degree in 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)

Responsibilities

• 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

Benefits

• Performance incentive programs
• Medical, dental, vision, and life insurance (plus other voluntary benefits)
• 401(k) with company matching
• Employee Stock Purchase Program (ESPP)
• Student debt assistance
• Tuition reimbursement program
• Development and career growth opportunities
• Financial planning benefits
• Wellness benefits (including EAP)
• Paid time off and paid company holidays
• Family care and bonding leave