Description review
CoreWeave | Senior Specialist Field Engineers
CoreWeave · Remote · back to the listing
HR standards
59/100
needs work
Title ↔ description
68/100
needs work
Reads as
Sales Engineer
91% confident
What this role officially is
technical sales representative — ESCO, the EU occupation classification
Technical sales representatives act for a business to sell its merchandise while providing technical insight for customers.
Also known as: assistant technical sales representative, field saleswoman, inside technical sales representative, field salesperson, technical field sales representative, trainee technical sales engineer
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What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
(Kubernetes, Security, Storage, Compute Infrastructure)| Full-time | Hybrid, 3 days/week in office: San Francisco CA, Sunnyvale CA, or Bellevue WA | $182k-$275k base + bonus + equity
I run the US West Specialist Field Engineering team at CoreWeave. We work hand in hand with the labs pushing the boundaries of AI, on some of the largest GPU Kubernetes clusters in the world. Specialist Field Engineers own the technical side of the customer relationship: architecture, proofs of concept, and the hard debugging nobody else can do. What you learn in the field feeds straight back into the product.
Must live near one of the cities above. This is a hybrid role, and we do not offer relocation.
Must have deep experience in these areas. It's in the title. The work we do goes exceptionally deep, and we need people who are already experts in one of these areas.
* Kubernetes [ https://grnh.se/7j1kydde6us ] You've written a production k8s operator, in go or rust. Bonus: GPU scheduling (device plugins, topology, MIG, RDMA), control plane scaling at thousands of nodes, Slurm, CNCF contributions.
* Security [ https://grnh.se/jxbek1o66us ] You've secured large-scale infrastructure and can trace an identity or isolation problem from the IdP, through the kernel and network, into Kubernetes. Bonus: threat modeling against SOC 2/FedRAMP, confidential computing and attestation, Falco/Tetragon, DPU/GPU/secure boot.
* Storage [ https://grnh.se/137kuvyv6us ] You've built or run a parallel filesystem (VAST, WEKA, Lustre) at scale, and can explain in detail how S3 works under the hood. Bonus: NFS-over-TCP debugging at scale, checkpointing for AI training, CSI drivers, kernel NFS/Lustre/Ceph contributions.
* Compute Infrastructure [ https://grnh.se/q3hmrcf56us ] You've brought up and validated large GPU clusters on GB200/GB300-class hardware, from InfiniBand/RoCE fabric validation thorugh PXE boot and NCCL acceptance. Bonus: firmware/BMC/BIOS, bare metal, Kubernetes, or Slurm.
If you're local and that's you, apply through the links above (they route to me) and mention HN.
I run the US West Specialist Field Engineering team at CoreWeave. We work hand in hand with the labs pushing the boundaries of AI, on some of the largest GPU Kubernetes clusters in the world. Specialist Field Engineers own the technical side of the customer relationship: architecture, proofs of concept, and the hard debugging nobody else can do. What you learn in the field feeds straight back into the product.
Must live near one of the cities above. This is a hybrid role, and we do not offer relocation.
Must have deep experience in these areas. It's in the title. The work we do goes exceptionally deep, and we need people who are already experts in one of these areas.
* Kubernetes [ https://grnh.se/7j1kydde6us ] You've written a production k8s operator, in go or rust. Bonus: GPU scheduling (device plugins, topology, MIG, RDMA), control plane scaling at thousands of nodes, Slurm, CNCF contributions.
* Security [ https://grnh.se/jxbek1o66us ] You've secured large-scale infrastructure and can trace an identity or isolation problem from the IdP, through the kernel and network, into Kubernetes. Bonus: threat modeling against SOC 2/FedRAMP, confidential computing and attestation, Falco/Tetragon, DPU/GPU/secure boot.
* Storage [ https://grnh.se/137kuvyv6us ] You've built or run a parallel filesystem (VAST, WEKA, Lustre) at scale, and can explain in detail how S3 works under the hood. Bonus: NFS-over-TCP debugging at scale, checkpointing for AI training, CSI drivers, kernel NFS/Lustre/Ceph contributions.
* Compute Infrastructure [ https://grnh.se/q3hmrcf56us ] You've brought up and validated large GPU clusters on GB200/GB300-class hardware, from InfiniBand/RoCE fabric validation thorugh PXE boot and NCCL acceptance. Bonus: firmware/BMC/BIOS, bare metal, Kubernetes, or Slurm.
If you're local and that's you, apply through the links above (they route to me) and mention HN.