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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 Python, with additional experience in Go, Java, TypeScript, or Rust. The role focuses on creating secure gateways and proxy systems that integrate with cloud compute providers and multiple frontier model providers to convert engineering know-how into tested software, automation, and reliable data stores.
What does a Software Engineer earn in Texas?
Median $178175 from 187 postings across 44 companies.
Design and implement secure, scalable AI platforms and proxy systems for company-wide use.
Own complex platform initiatives from technical strategy and implementation through testing and deployment.
Onboard new frontier models and expand compute resources while optimizing proxy systems for performance and security.
Develop and scale risk-mitigation tools such as AI-powered code reviews and PR automation.
Identify high-value opportunities to convert engineering problems into tested software and trained models.
Define best practices for lean, secure applied AI to maximize automation and reliable data systems.
Build shared products, prompts, and infrastructure to enable rapid adoption of AI tools across the organization.
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 like 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.
AI
MLOps
Python
Docker
Kubernetes
Go
Java
TypeScript
Rust
CI/CD
infrastructure-as-code
Distributed Systems
Security Architecture
Observability
Proxy Systems