Software Engineer (Platform Team)

Summary

Sequoia Capital Global Equities is a company focused on enabling human life on Mars through advanced technologies. The Software Engineer for the Platform Team will design and build secure AI platforms that enhance engineering capabilities across SpaceX, driving efficiency and innovation in AI applications.

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
• Access to comprehensive medical, vision, and dental coverage
• Access to a 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Paid parental leave
• Various other discounts and perks
• 3 weeks of paid vacation
• Eligible for 10 or more paid holidays per year
• Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law