> Markdown version of [/jobs/ext/3039538-ai-engineer-platform-infrastructure](https://www.wearedevelopers.com/jobs/ext/3039538-ai-engineer-platform-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). --- # AI Engineer, Platform Infrastructure - **Company:** Space Exploration Technologies Corp. - **Location:** United States - **Salary:** $125,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Nvidia CUDA, Computer Engineering, Linux, Github, Image Management, InfiniBand, Python (Programming Language), Pulumi, Kubernetes Helm Charts, Build Management, Kubernetes, Information Technology, Deployment Automation, Bare Metal, Hardware Infrastructure, Terraform - **Published:** September 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/08454b63-1639-424b-9571-5a239b017d33/ai-engineer-platform-infrastructure-special-programs ## About the Role - Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline. - 1+ years of experience in Go Lang and/or Python. - 1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications. **PREFERRED SKILLS AND EXPERIENCE:** - Ability to obtain and maintain a Top Secret or Top Secret SCI clearance. - Experience building CI/CD pipelines and deployment automation (Buildkite, GitHub Actions, or equivalent). - Familiarity with container image management. - Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs. - Understanding of Linux systems. - Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged. - Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking. - Experience with PXE boot, cloud-init, squashfs, or other bare metal provisioning technologies. - Own the bare metal provisioning pipeline. ## Description As an AI Engineer, Platform Infrastructure you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well-tested, and foolproof. **RESPONSIBILITIES:** - Design and build the deployment generator. - Create and maintain platform documentation. - Build the bundle pipeline. - Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection. - Build and maintain the cross-profile CI matrix. - Build the testing and validation framework. - Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure. - Own the monitoring stack migration. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)