Senior AI Infrastructure Engineer, Physical Infrastructure

CorpTech Infrastructure Engineering builds and operates the foundational infrastructure that powers Anduril at large. We give engineers researchers and product teams across the company a place to deploy fast scalable infrastructure without having to become infrastructure experts themselves. As Andurils AI and autonomy ambitions grow our team is responsible for delivering the next generation of compute networking and storage capabilities that make cutting edge model training and inference possible company wide.

Were looking for a Senior AI Infrastructure Engineer to lead the vision execution and long-term stability of how Anduril trains with this role you will take absolute ownership of cluster robustness ensuring our high-performance GPU systems are highly available fault-tolerant and resilient for ML platform and research teams company-wide. This is a highly hands-on role where your primary focus is logical stability and automated resiliencebuilding self-healing mechanisms to proactively detect and isolate hardware faults tuning NCCL and high-speed networking and optimizing Kubernetes Run:AI and Ray scheduling. By replacing manual triage with automated deployment tooling and deep observability you will ensure our massive-scale training infrastructure runs seamlessly and scales without linear headcount growth.

• Rack stack cable and bring up GPU compute (H200/B200/B300 NVL72) including physical topology power cooling firmware/BIOS and burn in validation.
• Build and tune the interconnect fabric (NVLink InfiniBand RoCE Spectrum-X) connecting hundreds of GPUs into low latency training and inference clusters.
• Integrate high performance parallel storage (VAST DDN Weka) to sustain the throughput demanded by distributed training and terabyte scale multi modal datasets across Andurils programs.
• Automate cluster deployment and configuration end to end including infrastructure as code for bring up firmware/driver management and fabric config so new capacity comes online with minimal manual work.
• Operate and extend our Kubernetes/Run:AI environment for GPU scheduling quota management and multi tenant workload isolation across research and engineering teams company wide.
• Own fleet health: monitoring alerting and rapid triage of hardware and network faults (bad transceivers GPU Xid errors NCCL/collective failures RoCE congestion).
• Onboard engineers and researchers onto the platform and act as their escalation point working directly alongside them to debug train and optimize their workloads whenever infrastructure not the model is the bottleneck.
• Partner with product facing teams across Anduril to understand emerging compute needs and translate them into platform capability.

• 10 years in a hands on infrastructure HPC or datacenter engineering role supporting GPU compute at scale.
• Hands on experience with H200/B200/B300 (or comparable) GPU systems: bring up cabling firmware/driver management.
• Experience with high performance interconnects (NVLink InfiniBand RoCE Spectrum-X) in clusters of hundreds of GPUs.
• Experience with high performance parallel storage (VAST DDN Weka Lustre or similar).
• Kubernetes required; Run:ai or similar GPU scheduling/orchestration experience strongly preferred.
• Strong automation background. You build repeatable automated deployment pipelines rather than manual processes.
• Able to lift/move 50 lbs and perform physical datacenter work (rack/stack/cable/troubleshoot).
• Eligible to obtain and maintain an active U.S. Top Secret clearance.

• Experience with NVIDIA NVL72 rack scale systems.
• Experience supporting LLM token serving/inference infrastructure alongside training clusters.
• Network fabric tuning experience (congestion control adaptive routing QoS) for RoCE/InfiniBand at scale.
• Familiarity with GPU/network observability tooling (DCGM fabric telemetry) and automated fault detection.
• Experience supporting infrastructure as a shared platform serving multiple internal customer teams with differing requirements.

The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

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