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

• Weekly Bonus of $500–$1000 USD per 5 tasks.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.