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MLOps Engineer - GPU Specialist

Exclusive opportunity

Onsite

MLOps Engineer - GPU Specialist

Mercor

MLOps Engineer - GPU Specialist

Skills

PyTorchMachine LearningAI

1 month ago

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Important information


Contract type:

Part time

Location:

United States

Work mode:

Onsite

Published on:

16 September 2026

What they need


About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)

Type: Contract Compensation: $90–$120/hour Location: Remote Commitment: 40 hours/week Role Responsibilities

  • Design challenging tasks across GPU kernels, performance profiling, debugging, and inference serving. Write accurate, well-structured solutions.
  • Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems and training infrastructure.
  • Evaluate MLOps and ML systems tasks. Provide clear, written technical feedback that stands up to reviewer scrutiny.
  • Develop guidelines and detailed rubrics covering kernel-level optimization, profiler output interpretation, and serving throughput and latency trade-offs.
  • Collaborate with other subject matter experts to ensure training data consistency and accuracy.

Qualifications Must-Have

  • 2+ years of hands-on professional experience in ML systems, ML infrastructure, or GPU performance engineering.
  • Practical experience in GPU kernels (e.g., CUDA, Triton) or performance profiling (e.g., Kineto, torch.profiler).
  • Working production experience with JAX and/or PyTorch.
  • Familiarity with modern accelerators such as A100, H100, or TPU.
  • Strong written communication skills.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.
  • Equal Employment Opportunity employer.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

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