Senior Software Engineer, Platform Team

SpaceX

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Bastrop, TX
Posted
113 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $181k
$107k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $151,000–$211,200.

Based on 240 similar postings.

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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.

SpaceX currently has 680 open roles on FindRole.

Listed pay typically runs $130,000–$165,000 across 442 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Platform Team

Sr. Software Engineer (Platform Team) joins the Platform Team to build foundational tooling and security infrastructure that enables the organization to harness AI effectively. This role involves designing, architecting, and implementing secure, scalable AI platforms and proxy systems while managing the onboarding of frontier models and expanding compute capacity. The engineer will develop risk-mitigation tools like intelligent code review assistants and automate workflows to convert engineering expertise into reliable data stores and software. Key technical requirements include experience with Docker, Kubernetes, security architecture, and infrastructure-as-code within CI/CD pipelines. Candidates should be proficient in Python and familiar with languages such as Go, Java, TypeScript, or Rust. The role focuses on the core problem of creating secure gateways and proxy systems to provide reliable, high-impact AI capabilities across various internal teams and production environments.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

See salary data

What you'll do

  • Design and architect secure, scalable AI platforms and proxy systems for company-wide use.
  • Manage end-to-end platform initiatives including technical strategy, implementation, testing, and deployment.
  • Onboard new frontier models and expand compute resources across multiple cloud providers.
  • Optimize proxy systems for performance, security, logging, and control.
  • Develop risk-mitigation tools such as intelligent code reviews and automated PR assistants.
  • Build shared infrastructure, prompts, and skills to accelerate internal engineering workflows.
  • Create scalable tools that convert complex problems into automated software and reliable data stores.

What we're looking for

  • Bachelor's degree in computer science, engineering, or a related field 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.
  • Proficiency in Python and experience with other languages like Go, Java, TypeScript, or Rust.
  • Expertise in Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers.
  • Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systems.
  • Proven success building internal AI gateways, secure proxy systems, or MLOps platforms.
  • Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.

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