This role pays more than
58%
of similar roles. Most pay
$144,350–$235,750
— the shaded band above.
At the midpoint, this role pays about
$193k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Anduril Industries
Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.
Anduril Industries currently has
1697 open roles
on FindRole.
Listed pay typically runs
$146,000–$194,000
across 1504 roles with salary data.
Senior AI Infrastructure Engineer, Physical Infrastructure joins the CorpTech Infrastructure Engineering team to lead the vision and execution for large-scale GPU training infrastructure. This hands-on role involves taking ownership of cluster robustness by building self-healing mechanisms, automating deployment pipelines, and ensuring high availability for ML platform teams. The engineer will rack, stack, and cable GPU compute systems including H200, B200, and B300 models while tuning interconnect fabrics like NVLink, InfiniBand, RoCE, and Spectrum-X. Responsibilities include integrating parallel storage solutions such as VAST, DDN, or Weka, and managing Kubernetes and Run:AI environments for workload isolation. The role requires expertise in firmware management, network fabric tuning, and hardware fault triage to support distributed training and inference. This position solves the technical challenge of providing scalable, automated infrastructure to support advanced AI and autonomy development.
Remote (Santa Clara, CA)+143 days ago
$184,000–$287,500
GPU
InfiniBand
RoCE
RDMA
NCCL
NVLink
NVSwitch
Kubernetes
Slurm
Python
Linux
High-Performance Computing
Distributed Systems
Shell Scripting
DCGM
Nsight Systems