Distributed ML Platform Engineer - Multi-Cloud & GPU Systems
Listed on 2026-10-20
-
Software Development
DevOps, AI Engineer (Applied/Software)
Pluralis Research is building Protocol Learning infrastructure that runs on consumer nodes and clouds, orchestrating distributed training and inference across WAN links. You will architect and scale the platform, focusing on deployment, orchestration, and reliability.
The role emphasizes Python-based systems programming, observability with Prometheus/Grafana, and multi-cloud management using Pulumi or Terraform. Remote-first culture and visa sponsorship are offered.
This opportunity is for the Distributed ML Platform Engineer
- Multi-Cloud & GPU Systems role at Pluralis Research.
The advertised compensation is 150..
This role offers the option to work remotely.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Distributed ML Platform Engineer
- Multi-Cloud & GPU Systems role in the description above.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).