Software Engineer (Platform Team)

Summary

SpaceX is a company focused on developing technologies for human exploration of Mars. They are seeking a Software Engineer for the Platform Team to design and build secure, scalable AI platforms that enhance productivity and enable effective use of AI across the organization.

Responsibilities

• Design, build, and operate secure, scalable AI platforms and proxy systems used by teams throughout SpaceX
• Own the full lifecycle of platform development including design, testing, deployment, and continuous improvement
• Drive adoption by communicating value, directly supporting engineers, and building shared prompts, skills, and infrastructure that accelerate peers
• Act entrepreneurially to identify high-value opportunities and create solutions that allow users to rapidly turn problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
• Collaborate closely with stakeholders to deeply understand needs and deliver platforms that connect AI to real tools and workflows
• Onboard new models, expand compute resources, and optimize efficiency of proxy systems for logging, control, and security
• Develop tools that mitigate business risk, such as AI-powered code review and PR automation
• Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems across the company

Skills

• Bachelor's degree in computer science, computer engineering, or other engineering discipline; OR 2+ years of professional experience building production software in lieu of a degree
• Experience developing production software systems (platform, backend, or full stack)
• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State
• Experience building internal developer platforms, AI gateways, or secure proxy systems in production
• Hands-on work with Docker containers, security-focused architecture, and multi-provider integrations (cloud compute + frontier model providers)
• Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale AI usage
• Strong desire to enable others — experience creating tools, documentation, shared assets, or training that drives company-wide adoption
• Entrepreneurial mindset with a track record of identifying and delivering high-impact solutions
• Proficiency in Python and experience with additional languages (Go, Java, TypeScript, etc.)
• Knowledge of Kubernetes, container orchestration, observability, and infrastructure-as-code tools
• Understanding of AI risk mitigation, code generation, and developer productivity tools
• Passion for turning complex engineering problems into simple, reliable, and secure AI-powered outcomes

Qualifications

Must Haves

• Bachelor's degree in computer science, computer engineering, or other engineering discipline; OR 2+ years of professional experience building production software in lieu of a degree
• Experience developing production software systems (platform, backend, or full stack)
• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State

Nice to Haves

• Experience building internal developer platforms, AI gateways, or secure proxy systems in production
• Hands-on work with Docker containers, security-focused architecture, and multi-provider integrations (cloud compute + frontier model providers)
• Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale AI usage
• Strong desire to enable others — experience creating tools, documentation, shared assets, or training that drives company-wide adoption
• Entrepreneurial mindset with a track record of identifying and delivering high-impact solutions
• Proficiency in Python and experience with additional languages (Go, Java, TypeScript, etc.)
• Knowledge of Kubernetes, container orchestration, observability, and infrastructure-as-code tools
• Understanding of AI risk mitigation, code generation, and developer productivity tools
• Passion for turning complex engineering problems into simple, reliable, and secure AI-powered outcomes

Benefits

• Long-term incentives, in the form of company stock or long-term cash awards
• Potential discretionary bonuses
• Ability to purchase additional stock at a discount through an Employee Stock Purchase Plan
• Comprehensive medical, vision, and dental coverage
• Access to a 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Paid parental leave
• 3 weeks of paid vacation
• 10 or more paid holidays per year
• Paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law