This role pays more than
71%
of similar roles. Most pay
$151,000–$211,200
— the shaded band above.
At the midpoint, this role pays about
$202k
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 internal teams to utilize 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 must possess expertise in Docker, Kubernetes, security architecture, and infrastructure-as-code while being proficient in Python and other languages such as Go, Java, TypeScript, or Rust. You will solve complex problems by converting engineering knowledge into automated systems and reliable data stores while ensuring high-volume AI usage remains secure and performant across the organization.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 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.
Build shared infrastructure, prompts, and skills to accelerate internal engineering workflows.
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.
Candidates must have 5 years of professional experience building production software with a degree, or 7 years 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.
Candidates must be a U.S. citizen, permanent resident, refugee, asylee, 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
Prompts
Data Analysis
Automation
AI
MLOps
Python
Docker
Kubernetes
Go
Java
TypeScript
Rust
CI/CD
infrastructure-as-code
Distributed Systems
Security Architecture
Proxy Systems
Observability
Data Analysis