Senior AI Platform Engineer – Secure, Scalable Gateways

SPACE EXPLORATION TECHNOLOGIES CORP; Sunnyvale (CA); On-site; USD 170,000 - 235,000; Full time

Benefits offered by this job

Comprehensive medical coverage

401(k) retirement plan

Paid parental leave

Paid vacation

Job summary

SPACE EXPLORATION TECHNOLOGIES CORP is seeking a Sr. Software Engineer for the Platform Team to develop secure, scalable AI solutions. This role involves leading AI platform design, architecture, and implementation while collaborating with various teams to improve engineering processes.

The ideal candidate possesses a Bachelor’s degree in computer science, along with extensive experience building production-level systems and proficiency in technologies such as Docker and Kubernetes. Compensation ranges from $170,000 to $235,000 per year, with additional benefits including medical coverage and stock options.

Qualifications

• 5+ years of experience building production software; or 7+ years without a degree.
• Experience with production platforms and AI/ML infrastructure.

Responsibilities

• Lead the design and implementation of AI platforms.
• Own complex platform initiatives end-to-end.
• Drive onboarding of new frontier models.
• Champion adoption of AI technologies across teams.
• Develop tools for risk mitigation like code reviews.
• Collaborate with cross-functional stakeholders.

Skills

Docker

Kubernetes

Python

Java

Go

TypeScript

Rust

Education

Bachelor’s degree in computer science or related field

7+ years of professional experience in software development

Tools

AI/ML infrastructure

Production platforms

Cloud providers

Job description

SPACE EXPLORATION TECHNOLOGIES CORP is seeking a Sr. Software Engineer for the Platform Team to develop secure, scalable AI solutions. This role involves leading AI platform design, architecture, and implementation while collaborating with various teams to improve engineering processes.

The ideal candidate possesses a Bachelor’s degree in computer science, along with extensive experience building production-level systems and proficiency in technologies such as Docker and Kubernetes. Compensation ranges from $170,000 to $235,000 per year, with additional benefits including medical coverage and stock options.