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Sr. Software Engineer (Platform Team)

Bastrop, TX💼 Full-time🗓 2026-07-09 → 2026-09-26

Core

Building foundational tooling, security infrastructure, and proxy systems to enable company-wide AI adoption and accelerate software development.

Role type

Senior IC platform software engineer (AI infrastructure)

Builds

Secure, scalable AI gateways, proxy systems, and risk-mitigation tools for the entire organization

Domain

Aerospace / Applied AI Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Distributed systems architecture, cloud-native development, security engineering, system scalability, API design, container orchestration, prompt engineering, model integration, automation, technical leadership

Preferred skills

Experience with frontier LLMs, proxy optimization, code review automation, cross-team mentorship

Technologies

Docker, cloud compute providers, frontier model providers

Responsibilities

Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide; Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution; Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control; Champion adoption across SpaceX by mentoring engineers, communicating value, building shared products/prompts/skills/infrastructure, and providing hands-on support; Act as an entrepreneurial force to identify high-value opportunities and deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute; Develop and scale tools that mitigate business risk, such as advanced AI-powered code review, PR automation, and safety guardrails; Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems

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