Parallel Computing Engineer at Mercor

Parallel Computing Engineer | $10.5/hr | Remote

Join a leading AI lab as a Parallel Computing Engineer and drive the acceleration of large-scale numeric and simulation workloads. In this contractor role, you will design, optimize, and deploy high-performance computing pipelines using advanced GPU/CPU parallelism and distributed systems.

• Accelerate numeric and simulation kernels with GPU/CPU parallel programming (CUDA, OpenMP).
• Optimize workloads through memory-hierarchy tuning and communication reduction.
• Scale computations using distributed execution frameworks such as MPI, NCCL, and Slurm.
• Profile and benchmark performance with tools like nvprof and nsys.
• Develop reproducible HPC pipelines in Python, leveraging NumPy and SciPy.
• Collaborate with researchers and engineers to integrate HPC into production AI systems.

This role is ideal for engineers with a background in computer science, high-performance computing, or applied mathematics, and a passion for optimizing AI and scientific workloads. Enjoy flexible, part-time hours, weekly payments, and the opportunity to make a direct impact on the next generation of AI systems.