Mercor
MLOps Engineer - GPU Specialist
Skills
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
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
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