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.

Position:

Type:

Compensation:

Location:

Duration:

Commitment:

Role Responsibilities

• Accelerate numeric and simulation kernels through GPU/CPU parallelism.
• Optimize workloads via memory-hierarchy tuning and communication reduction.
• Scale computations across distributed clusters using MPI, NCCL, and Slurm.
• Profile, benchmark, and optimize performance with tools such as nvprof and nsys.
• Build reproducible HPC pipelines with Python, NumPy, and SciPy.
• Collaborate with researchers and engineers to integrate HPC into AI and large-scale scientific workloads.

Requirements

• Background in Computer Science, High-Performance Computing, or Applied Mathematics.
• Experience in GPU/CPU parallel programming with CUDA and OpenMP.
• Strong understanding of distributed execution frameworks (MPI, NCCL, Slurm).
• Proficiency in Python with libraries like NumPy and SciPy for scientific computing.
• Familiarity with performance profiling tools such as nvprof and nsys.
• Deep interest in scalability, communication overhead reduction, and HPC optimization.

Application process:

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