Member of Technical Staff — Supercomputing
Palo Altoonsite
via Greenhouse
About this role
About the Role
RadixArk is hiring a Member of Technical Staff — Supercomputing to help build, deploy, and operate production-grade AI infrastructure for frontier-scale inference and training workloads.
This role sits at the intersection of engineering, deployment, reliability, and customer infrastructure. You will work on bringing up SGLang, Miles, and the RadixArk infrastructure stack across cloud GPUs, customer VPCs, dedicated clusters, and partner environments. You will help ensure that our systems are not only fast in benchmarks, but reliable, observable, and operationally robust in real production settings.
This is not a traditional DevOps or SRE role. You will need to understand the model, the serving engine, the cluster, the workload, and the production constraints.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, bash, aws, azure, gcp…
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Palo Alto. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonbashawsazuregcplambdakubernetesdockerterraformdatadoggrafanaprometheusopentelemetryelkteams