below marketmost similar roles pay hereabove market
This role pays more than
77%
of similar roles. Most pay
$151,000–$201,600
— the blue band above.
At the midpoint, this role pays about
$202k
versus about
$176k
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
851 open roles
on FindRole.
Listed pay typically runs
$130,000–$165,000
across 590 roles with salary data.
The Sr. Software Engineer (Platform Team) joins the team responsible for building foundational tooling and security infrastructure to empower the organization to harness AI effectively. You will design and scale secure gateways, proxy systems, and platforms that convert engineering know-how into tested software, automation, and reliable data stores. Key responsibilities include leading the architecture of company-wide AI platforms, onboarding frontier models, expanding compute capacity, and developing risk-mitigation tools like intelligent code review and PR assistants. You will utilize Docker, Kubernetes, and infrastructure-as-code to integrate with multiple cloud and frontier model providers. The role requires proficiency in Python and languages such as Go, Java, TypeScript, or Rust to solve complex problems regarding model onboarding, compute orchestration, and high-volume AI usage across the company.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Design and implement secure, scalable AI platforms and proxy systems for company-wide use.
Own complex platform initiatives from technical strategy and implementation through testing and deployment.
Onboard new frontier models and expand compute resources to support AI operations.
Optimize proxy systems for performance, security, logging, and control.
Develop tools to mitigate business risk, including AI-powered code reviews and safety guardrails.
Create shared products, prompts, and infrastructure to enable rapid conversion of ideas into software.
Define best practices for lean, secure, and effective applied AI across the organization.
What we're looking for
Bachelor’s degree in computer science, computer engineering, or another engineering discipline 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.
Must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible for required Department of State authorizations.
Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment (preferred).
Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers (preferred).
Proficiency in Python and strong experience with additional languages like Go, Java, TypeScript, or Rust (preferred).
Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systems (preferred).
AI
MLOps
Python
Docker
Kubernetes
Go
Java
TypeScript
Rust
CI/CD
infrastructure-as-code
Distributed Systems
Security Architecture
Observability
Proxy Systems