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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.
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Listed pay typically runs
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The Principal Software Engineer (Platform Team) joins the team responsible for building foundational tooling and security infrastructure to enable effective AI use across the organization. This role involves architecting platforms that convert engineering knowledge into automated systems, reliable data stores, and risk-mitigation tools like intelligent code reviews. You will lead high-impact initiatives including onboarding frontier models, scaling massive compute, and optimizing proxy systems for security, logging, and control. Key technical requirements include mastery of Python, Docker, Kubernetes, and infrastructure-as-code. You must possess expertise in MLOps, distributed compute, zero-trust security models, and multi-cloud integrations. The work focuses on creating secure gateways and proxy systems that allow engineers to perform advanced data analysis and turn ideas into production software at scale.
What does a Software Engineer earn in Texas?
Median $178175 from 187 postings across 44 companies.
Define and drive the long-term technical vision and architecture for the AI platform and security infrastructure.
Lead high-impact initiatives with full ownership over strategy, design, implementation, and company-wide rollout.
Oversee the onboarding of frontier models and the scaling of massive compute capacity.
Optimize proxy systems for security, efficiency, logging, and control.
Invent and scale advanced risk-mitigation capabilities like intelligent code reviews and automated PR tools.
Establish best practices for lean, secure, and effective applied AI across the entire organization.
Convert engineering knowledge into production software, trained models, and automated systems with managed compute.
What we're looking for
Bachelor’s degree in computer science, computer engineering, or another engineering discipline and 7+ years of professional experience building and scaling production platforms.
9+ years of professional experience building and scaling production platforms in lieu of a degree.
Experience designing and operating large-scale AI/ML platforms, internal developer platforms, or mission-critical infrastructure.
Demonstrated success architecting and scaling AI gateways, secure proxy layers, or enterprise MLOps platforms that serve hundreds of users (preferred).
Expert-level experience with Docker/Kubernetes ecosystems, zero-trust security models, and multi-cloud/frontier-model integrations (preferred).
Deep expertise in MLOps, distributed compute, model lifecycle management, and building highly observable, reliable systems (preferred).
Mastery of Python and broad expertise across modern languages and tooling (preferred).
Must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible to obtain required authorizations from the U.S. Department of State.
AI
MLOps
Python
Docker
Kubernetes
infrastructure-as-code
Distributed Compute
Multi-cloud
Zero-trust Security
Observability
Model Lifecycle Management
Proxy Systems
Data Analysis
Automation
Python
MLOps
Docker
Kubernetes
infrastructure-as-code
Distributed Compute
AI
ML
Zero-Trust Security
Observability
Model Lifecycle Management
Proxy Systems
Python
MLOps
Docker
Kubernetes
infrastructure-as-code
Distributed Compute
AI
ML
Zero-Trust Security
Observability
Proxy Systems
Model Lifecycle Management
Automation
Python
MLOps
Docker
Kubernetes
infrastructure-as-code
Distributed Compute
AI
ML
Zero-Trust Security
Observability
Proxy Systems
Model Lifecycle Management
AI
MLOps
Python
Docker
Kubernetes
Go
Java
TypeScript
Rust
CI/CD
infrastructure-as-code
Distributed Systems
Security Architecture
Observability
Proxy Systems