HPC/ML Infrastructure Engineer

SPELLBRUSH
San Francisco, CA, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Access Data Transformation File Systems Virtual Private Networks (VPN) Lightweight Directory Access Protocols (LDAP) Ansible Prometheus Weka Ceph (Software) Sysadmin Grafana Kubernetes
+3 more
Bare Metal Slurm Machine Learning Operations

Job description

Once upon a time, our team could install SLURM on a few bare metal nodes and get away with it. Now the landscape has become unbelievable complex, with SLURM deploys through Slinky on K8s, provisioning through warewulf/MAAS/ansible, filesystems through WEKA/VAST/Ceph, VPN and access through tailscale, and monitoring via the Grafana/Prometheus stack. We’re looking for someone with relevant experience up and down the stack (and maybe a papercut or two to show for it!), Bringing up and managing cluster still requires good old linux sysadmin skills, including wrangling ldap, triaging dmesg, and setting sticky bits on directories for misbehaving users and tools.

Requirements

Do you have experience in Triage?

About the company

We’re looking for an experienced HPC infrastructure engineer to lead bringup, administration, and operations on is probably the largest anime AI training cluster in the world. You’ll serve as the bridge between our researchers and the bare GPU machines, helping to make sure that SLURM jobs are running, parallel filesystems are serving, network is transmitting, and that the anime models are training., We’re building out edge datacenters and our CEO is still personally racking, stacking, and provisioning HGX-based nodes in our living room. Also his VLAN design sucks and he’s bad at fiber routing. Please send help.

And you’re comfortable working on small, fast-paced teams.

We currently have a very tiny research team, and you’ll be directly helping some of the AI researchers in the world train the best anime image model in the world.

We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco (dogpatch!). Bay area is strongly preferred as we have physical hardware in the Bay Area. Visa sponsorships are available.

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