Parallel Computing Engineer | $10.5/hr Remote

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models.

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Role Responsibilities

• Accelerate numeric and simulation kernels using GPU/CPU parallelism.
• Optimize workloads via memory-hierarchy tuning and communication reduction.
• Scale computations with tools like MPI, NCCL, and Slurm for distributed clusters.
• Profile and benchmark performance using tools like nvprof and nsys.
• Build reproducible pipelines in Python, NumPy, and SciPy for HPC workflows.
• Collaborate with researchers and engineers to integrate HPC into production AI systems.

Requirements

• Background in computer science, high-performance computing, or applied mathematics.
• Experience with GPU/CPU parallel programming using CUDA and OpenMP.
• Familiarity with distributed execution frameworks and tools like MPI, NCCL, and Slurm.
• Proficiency in Python with libraries like NumPy and SciPy for scientific computing.
• Experience profiling and optimizing workloads with tools like nvprof and nsys.
• Ability to work independently and asynchronously with flexible hours.
• Access to a desktop or laptop computer (Chromebooks not supported).

Application process:

1. Upload resume
2. AI interview based on your resume (15 min)
3. Submit form