Parallel Computing Engineer

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.
• ###
• You’re a great fit if you :
• 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
• ###
• Primary Goal of This Role
• To design, optimize, and deploy parallel computing pipelines that accelerate numeric, simulations, and large-scale computations across GPUs, CPUs, and distributed clusters.
• ###
• What You’ll Do
• 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.
• ###
• Why This Role Is Exciting
• 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
• ###
• Pay & Work Structure
• 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.