Senior Software Engineer, Platform Team

SpaceX

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Starbase, TX
Posted: 113 days ago
Freshness: Confirmed live yesterday
Nearby: 49 roles within 25 mi

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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

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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 tools for risk mitigation, such as intelligent code review and PR assistants, to convert engineering expertise into automated software and reliable data stores. Key technical requirements include experience with Docker, Kubernetes, security architecture, infrastructure-as-code, and CI/CD pipelines. Candidates should be proficient in Python and familiar with languages like Go, Java, TypeScript, or Rust. The role focuses on the specific challenge of creating secure gateways and proxy systems to integrate various cloud compute providers and frontier models into daily workflows.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

AI MLOps Python Docker Kubernetes Go Java TypeScript Rust CI/CD infrastructure-as-code Distributed Systems Security Architecture Proxy Systems Observability Data Analysis

What you'll do

Design and implement secure, scalable AI platforms and proxy systems for company-wide use.
Manage end-to-end platform initiatives including technical strategy, testing, deployment, and long-term evolution.
Onboard new frontier models and expand compute resources while optimizing proxy systems for performance and security.
Develop risk-mitigation tools such as intelligent code review assistants and automated PR systems.
Build shared infrastructure, prompts, and skills to facilitate the adoption of AI across the organization.
Create tools that convert engineering knowledge into automated software and reliable data stores at scale.
Establish best practices for lean, secure, and effective applied AI implementation.

What we're looking for

Bachelor's degree in computer science, computer engineering, or another engineering discipline.
5+ years of professional experience building production software (or 7+ years without 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.
Hands-on experience with Docker, Kubernetes, security architecture, and multi-cloud provider integrations.
Experience with infrastructure-as-code, CI/CD, and building reliable distributed systems.
Proven success building AI gateways, secure proxy systems, or MLOps platforms in fast-paced environments.
Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.