This job post has expired on October 20, 2025. It is likely that the position has already been filled.
Parallel Computing Engineer at Mercor
posted 1 year agoParallel 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.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.