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hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Mercor is hiring a Parallel Computing Engineer on behalf of a leading AI lab. In this role, you’ll accelerate numeric and simulation kernels through GPU/CPU parallelism, memory-hierarchy tuning, and distributed execution across clusters. You’ll design scalable pipelines that maximize efficiency and throughput for large-scale computational workloads. This role is ideal for engineers who thrive at the intersection of HPC, GPU optimization, and distributed systems.
Have a background in computer science, high-performance computing, or applied mathematics.
Are experienced with GPU/CPU parallel programming using CUDA and OpenMP.
Understand distributed execution frameworks and tools like MPI, NCCL, and Slurm.
Are proficient in Python with libraries like NumPy and SciPy for scientific computing.
Have experience profiling and optimizing workloads with tools like nvprof and nsys.
Care about memory hierarchy, communication overhead, and scalability in parallel systems.
Are curious about how HPC techniques accelerate AI training, simulations, and scientific workloads.
To design, optimize, and deploy parallel computing pipelines that accelerate numeric, simulations, and large-scale computations across GPUs, CPUs, and distributed clusters.
Speed up numeric and simulation kernels through GPU/CPU parallelism.
Optimize workloads via memory-hierarchy tuning and communication reduction.
Scale computations with MPI, NCCL, and Slurm for distributed clusters.
Profile and benchmark performance using 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.
You’ll accelerate mission-critical AI and scientific workloads.
You’ll work across the stack: hardware-level optimization, distributed execution, and HPC software engineering.
You’ll directly impact the performance of large-scale AI models and simulations.
You’ll be part of shaping how parallel computing powers the next generation of AI systems.
You’ll be classified as an hourly contractor to Mercor.
Paid weekly via Stripe Connect, based on hours logged.
Part-time (20–30 hrs/week) with flexible hours—work from anywhere, on your schedule.
Weekly Bonus of $500–$1000 USD per 5 tasks.
Remote and flexible working style.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.