SpaceX

2 months ago

Sr. Software Engineer (Platform Team)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead design and build of secure, scalable AI platforms and proxy systems for SpaceX. Own end-to-end platform initiatives, onboard frontier models, and scale infrastructure to enable rapid, trustworthy AI across the company, with Docker-based gateways and multi-cloud integrations.

Location: Texas

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide
•Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution
•Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control
•Champion adoption across SpaceX by mentoring engineers, communicating value, building shared products/prompts/skills/infrastructure, and providing hands-on support
•Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems

Key Requirements

•Bachelor’s degree in computer science, computer engineering, or another engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
•Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)
•Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers
•Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment
•Proficiency in Python and strong experience with additional languages (Go, Java, TypeScript, Rust), plus infrastructure-as-code, CI/CD, and building reliable distributed systems

Experience:5+ yearsSpace

Education:Bachelor's

Skills:PythonGoJavaTypeScriptRustDockerKubernetesCI/CDInfrastructure-as-code

Languages:English

Tech Stack:PythonGoJavaTypeScriptRustDockerKubernetesCI/CDTerraformAnsibleGitCI/CD pipelines

Company Brief

SpaceX

Designs, manufactures, and launches advanced rockets and spacecraft for commercial and government customers, aiming to reduce space transportation costs and enable human life on Mars through reusable launch vehicles and integrated space systems.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: Hawthorne, United States

Founded: 2002

Glassdoor: 4.2

Website LinkedIn

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SpaceX

2 months ago

Sr. Software Engineer (Platform Team)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Texas

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide
•Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution
•Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control
•Champion adoption across SpaceX by mentoring engineers, communicating value, building shared products/prompts/skills/infrastructure, and providing hands-on support
•Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems

Key Requirements

•Bachelor’s degree in computer science, computer engineering, or another engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
•Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)
•Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers
•Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment
•Proficiency in Python and strong experience with additional languages (Go, Java, TypeScript, Rust), plus infrastructure-as-code, CI/CD, and building reliable distributed systems

Experience:5+ yearsSpace

Education:Bachelor's

Skills:PythonGoJavaTypeScriptRustDockerKubernetesCI/CDInfrastructure-as-code

Languages:English

Tech Stack:PythonGoJavaTypeScriptRustDockerKubernetesCI/CDTerraformAnsibleGitCI/CD pipelines

Company Brief

SpaceX

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: Hawthorne, United States

Founded: 2002

Glassdoor: 4.2

Website LinkedIn