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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer, Platform Infrastructure, Special Programs Organization - **Company:** Space Exploration Technologies Corp. - **Location:** United States - **Experience:** Expert - **Salary:** $220,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Nvidia CUDA, Computer Engineering, Continuous Delivery, Continuous Integration, Linux, Github, Image Management, InfiniBand, Python (Programming Language), Pulumi, Scripting, Graphics Processing Unit (GPU), Kubernetes Helm Charts, Build Management, Kubernetes, Information Technology, Deployment Automation, Bare Metal, Hardware Infrastructure, Terraform - **Published:** September 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-ai-engineer-platform-infrastructure-special-programs-palo-alto-ca--40684306-20b9-4cf2-bc67-3ea1e3cfea0d ## About the Role * Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline. * 5+ years of experience in Go Lang and/or Python. * 5+ 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., Artificial Intelligence (AI), Automation, CUDA (Compute Unified Device Architecture), Cloud Computing, Compensation and Benefits, Computer Engineering, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Science, Documentation, GPU (Graphics Processing Unit), GitHub, Government, Government Regulations, Image Management, Linux Operating System, Machine Tool, Mathematics, Physics, Public Cloud, Python Programming/Scripting Language, Return on Capital Employed (ROCE), Sales Pipeline, Security Clearance, Stock Purchase Plans, Top Secret Clearance, United States Citizen, Validation Testing, Willing to Travel ## Description * 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., * Must be willing to work extended hours and weekends as needed. * 20% travel may be required to government sites. * This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs. ## Related Videos - [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) - [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) - [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 - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow) - [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)