> Markdown version of [/jobs/ext/4411755-senior-ai-infrastructure-engineer-physical-infrastructure](https://www.wearedevelopers.com/jobs/ext/4411755-senior-ai-infrastructure-engineer-physical-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Infrastructure Engineer, Physical Infrastructure - **Company:** Anduril Industries - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $166,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BIOS, Network Congestion, Software Debugging, Fault Tolerance, Firmware, InfiniBand, Anti-Phishing, Azure Machine Learning, Weka, AI Infrastructure, Datadog, Graphics Processing Unit (GPU), Large Language Models, Kubernetes, Low Latency, Deployment Automation - **Published:** October 8, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9229345/senior-ai-infrastructure-engineer-physical-infrastructure ## About the Role * 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. ## Description We're looking for a Senior AI Infrastructure Engineer to lead the vision, execution, and long-term stability of how Anduril trains with GPUs at scale. In 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 resilience-building 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 Anduril's 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., Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. * Please always verify communications: + Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an address. + Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. * Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. * What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.