Live opening · Posted 2 days ago

Senior AI & Machine Learning Infrastructure Engineer

Futurepillar · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyFuturepillar
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed2 days ago

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About the role

Description supplied by the original job listing.

SynthMind AI is building next-generation LLM serving infrastructure. We need a Senior ML Infra Engineer to optimize inference latencies and build distributed training pipelines.
Build high-throughput GPU serving infrastructure for LLMs.
Reduce model inference latency and GPU memory overhead.
Collaborate with AI research scientists to deploy experimental models.
Python, C++, PyTorch, CUDA, and Triton inference server experience.
Hands-on experience scaling GPU cluster workloads.
M.S. or B.S. in Computer Science or related field.
Top-tier competitive salary + Generous AI equity grant.
Unlimited PTO policy.
Premium hardware selection (MacBook Pro M3 Max / RTX Workstations).

Work arrangement
Yes

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