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ML Infra Tech Lead GPU & K8s

Job in Santa Fe, Santa Fe County, New Mexico, 87503, USA
Listing for: Reducto
Full Time position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 190000 - 230000 USD Yearly USD 190000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: ML Infra Tech Lead: High-Performance GPU & K8s

Reducto seeks an ML Infrastructure Tech Lead to own and optimize our high-performance infrastructure for model training and inference. You will drive architecture choices, implement scalable multi-GPU systems, and partner with ML and Platform teams to deliver production-ready software.

This hands-on leadership role requires deep Python and systems engineering skills, extensive experience with GPUs, and the ability to balance rapid experimentation with reliable production serving.

Join us at Reducto as our next ML Infra Tech Lead:
High-Performance GPU & K8s in Santa Fe, NM, United States.

Take a moment to read everything above and see whether this role is right for you.

This posting is for the ML Infra Tech Lead:
High-Performance GPU & K8s role at Reducto, based in Santa Fe, NM, United States.

We are looking to fill the ML Infra Tech Lead:
High-Performance GPU & K8s position at Reducto in Santa Fe, NM, United States.

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