Parallel Computing EngineerMercor • Boston, Massachusetts, US
No longer accepting applications
Parallel Computing Engineer
Mercor • Boston, Massachusetts, US
4 days ago
Job type
Part-time
Job description
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.
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