Senior AI Platform Engineer - Secure, Scalable Systems

SpaceX; Brownsville (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

SpaceX is seeking a Sr. Software Engineer focused on the Platform Team to design and scale secure AI platforms and proxy systems that empower all SpaceX engineers.

You will own end-to-end platform initiatives, onboard frontier models, and expand compute resources while mentoring peers and driving adoption across teams. You will work with Docker containers as gateways and proxies, integrating with cloud providers and frontier model services to accelerate SpaceX production with trustworthy AI at

Qualifications

• Bachelor's degree in computer science, computer engineering, or other engineering discipline; or 7+ years of relevant production software experience.
• Experience developing and operating production platforms (AI/ML infra, developer platforms, or large-scale backend systems).
• Proven ability to build and scale AI gateways, secure proxy systems, or MLOps platforms in fast-paced environments.
• Strong skills with Docker, Kubernetes, security architecture, and cloud/frontier model provider integrations.
• Experience onboarding models, compute orchestration, observability, and infra for high-volume AI usage.
• Ability to mentor others through docs, training, and direct collaboration.
• Entrepreneurial track record identifying opportunities and delivering impact.
• Proficiency in Python and familiarity with Go, Java, TypeScript, or Rust.

Responsibilities

• Lead design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide.
• Own complex platform initiatives end-to-end: strategy, implementation, testing, deployment, evolution.
• Drive onboarding of frontier models, expansion of compute resources, and proxy optimization for performance and security.
• Mentor engineers, communicate value, build shared products, prompts, skills, and infrastructure.
• Identify high-value opportunities and deliver solutions turning problems into tested software and deployed models.
• Develop and scale tools for AI risk mitigation, such as code review automation and PR tooling.
• Define best practices for lean, secure applied AI and reliable data systems.
• Collaborate with ML researchers, security, and operations teams across SpaceX.

Skills

Leadership

Mentoring

Cross-functional collaboration

Entrepreneurial mindset

Education

Bachelor's degree in CS/Engineering

7+ years experience in lieu of degree

Tools

Docker

Kubernetes

Python

Go

TypeScript

Rust

Job description

SpaceX is seeking a Sr. Software Engineer focused on the Platform Team to design and scale secure AI platforms and proxy systems that empower all SpaceX engineers.

You will own end-to-end platform initiatives, onboard frontier models, and expand compute resources while mentoring peers and driving adoption across teams. You will work with Docker containers as gateways and proxies, integrating with cloud providers and frontier model services to accelerate SpaceX production with trustworthy AI at