SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this…
SpaceX Operations Engineer for Applied AI partners with internal teams to integrate large language models into products and infrastructure. The role involves building LLM prototypes, advising on system architecture, and supporting end-to-end AI adoption across Sales, Product, and Engineering while working onsite in Redmond, WA.
SpaceX Operations Engineer for Applied AI, partnering with internal Sales, Product, and Engineering teams to design and implement LLM-powered solutions. The role involves building prototypes, advising on system architecture for large language models, and supporting end-to-end AI integration while prioritizing safety and responsible deployment.
Designs and deploys AI capabilities—models, APIs, tools, and integrations—for U.S. federal agencies, working with product, research, infrastructure, and legal teams. Uses Python and frontier AI models to build production-grade SDKs, APIs, and developer tools for government missions.
Builds full-stack web applications and services for Starlink's customer-facing digital experience, including mobile/web apps, support tooling, and an LLM-powered chatbot, using TypeScript, React, .NET microservices, and Kubernetes.
Designs and deploys AI capabilities—models, APIs, tools, and integrations—for U.S. federal agencies. Partners with product, research, infrastructure, and legal teams to integrate frontier AI models (e.g., Grok) into government systems and ship production-grade code and developer tools.
Designs, builds, and deploys mission-critical AI solutions for U.S. federal agencies, integrating frontier AI models with government systems. Partners with product, research, infrastructure, and legal/governance teams to deliver secure, production-grade AI for high-stakes missions.
Sr. AI Engineer on SpaceX's Special Programs Supercomputing team builds deployment generators, bundle pipelines, CI matrices, and testing frameworks for public cloud, on-prem, and classified air-gap targets using Go, Python, and Kubernetes, then works with cleared engineers at classified sites.
The engineer designs and builds deployment generators, bundle pipelines, CI matrices, and testing frameworks for classified supercomputing sites, working with cleared engineers in air-gapped environments using Go, Python, Kubernetes, and infrastructure-as-code tools.
Builds, evaluates, and deploys AI systems and applications to solve internal engineering and business problems at SpaceX, using Python, ML frameworks like PyTorch, Docker, and Kubernetes to move prototypes through deployment.
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Designs and builds production GenAI infrastructure at Deliveroo/DoorDash, leading open-weight LLM serving, fine-tuning, GPU autoscaling, and platform services such as gateways and evals, while mentoring engineers.
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