This role pays more than
65%
of similar roles. Most pay
$151,000–$211,200
— the shaded band above.
At the midpoint, this role pays about
$192k
versus about
$181k
for comparable roles.
Based on 240 similar postings.
Employer
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.
As a Sr. Software Engineer (Platform Team), you will join the team responsible for building foundational tooling and security infrastructure to empower the organization to harness AI effectively. You will design, architect, and implement secure, scalable AI platforms and proxy systems that integrate with various cloud compute providers and frontier model providers. Your daily work involves onboarding new models, expanding compute capacity, optimizing proxy efficiency for logging and control, and developing risk-mitigation tools like intelligent code review and PR assistants. To succeed, you will utilize Docker, Kubernetes, Python, and other languages such as Go, Java, TypeScript, or Rust. You will also leverage infrastructure-as-code and CI/CD to build reliable distributed systems. This role solves the challenge of converting engineering expertise into automated software and reliable data stores while ensuring secure, high-volume AI usage across the company.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
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 AI-powered code reviews and PR automation.
Create shared infrastructure, prompts, and skills to facilitate internal adoption of AI tools.
Define best practices for lean, secure, and effective applied AI across the organization.
What we're looking for
Bachelor's degree in computer science, engineering, or a related field is required.
At least 5 years of professional experience building production software is required for those with a degree.
At least 7 years of professional experience building production software is required for those without a degree.
Experience developing and operating production platforms such as AI/ML infrastructure, developer platforms, or large-scale backend systems is required.
Proficiency in Python and experience with other languages like Go, Java, TypeScript, or Rust is preferred.
Experience with Docker, Kubernetes, security architecture, and multi-cloud integrations is preferred.
Experience with infrastructure-as-code, CI/CD, and building reliable distributed systems is preferred.
Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.
AI
MLOps
Python
Docker
Kubernetes
Go
Java
TypeScript
Rust
CI/CD
infrastructure-as-code
Distributed Systems
Security Architecture
Proxy Systems
Observability
Data Analysis
AI
MLOps
Python
Docker
Kubernetes
Go
Java
TypeScript
Rust
CI/CD
infrastructure-as-code
Distributed Systems
Security Architecture
Proxy Systems
Prompts
Data Analysis
Automation