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About SpaceX
SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.
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The Sr. Software Engineer (Platform Team) joins the team responsible for building foundational tooling and security infrastructure to enable effective AI use across the organization. You will lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems. Day-to-day responsibilities include onboarding frontier models, expanding compute capacity, optimizing proxy efficiency for logging and control, and developing risk-mitigation tools like intelligent code review and PR assistants. You will utilize Docker, Kubernetes, and infrastructure-as-code to integrate with multiple cloud and frontier model providers. The role requires proficiency in Python and experience with languages like Go, Java, TypeScript, or Rust. You will solve the technical challenge of converting engineering know-how into tested software, automation, and reliable data stores through high-volume AI infrastructure.
What does a Software Engineer earn in Texas?
Median $178175 from 187 postings across 44 companies.
Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems.
Own complex platform initiatives from technical strategy and implementation through testing and deployment.
Drive the onboarding of new frontier models and the expansion of compute resources.
Optimize proxy systems for performance, security, logging, and control.
Develop and scale tools to mitigate business risk, such as AI-powered code reviews and safety guardrails.
Define best practices for lean, secure applied AI to convert engineering expertise into automation.
Build shared products, prompts, and infrastructure to enable company-wide AI adoption.
What we're looking for
Bachelor’s degree in computer science, computer engineering, or another engineering discipline and 5+ years of professional experience building production software.
7+ years of professional experience building production software in lieu of a degree.
Experience developing and operating production platforms such as AI/ML infrastructure, developer platforms, or large-scale backend systems.
Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment (preferred).
Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers (preferred).
Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usage (preferred).
Proficiency in Python and strong experience with additional languages such as Go, Java, TypeScript, or Rust (preferred).
Must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible to obtain required authorizations from the U.S. Department of State.