Software Engineer (Platform Team)

Bastrop, TXfull time

On Site

entry

$160k–$225k

H1B: no

SpaceX Sr. Software Engineer on SpaceX's Platform Team leads design and implementation of secure, scalable AI platforms and proxy systems company-wide. This role includes driving technical strategy, onboarding frontier models, and developing AI-powered risk mitigation tools.

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
Act as an entrepreneurial force to identify high-value opportunities and deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
Develop and scale tools that mitigate business risk, such as advanced AI-powered code review, PR automation, and safety guardrails
Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems
Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams

Qualification

Bachelor’s degree in computer scienceDeep hands-on experience with DockerStrong background in model onboardingExperience with infrastructure-as-codePassion for AI risk mitigation

Required

Bachelor’s degree in computer science, computer engineering, or other 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)

Preferred

Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment
Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers
Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usage
Demonstrated ability to enable and mentor others through tools, documentation, training, and direct partnership
Entrepreneurial track record of identifying opportunities and delivering outsized impact
Proficiency in Python and strong experience with additional languages (Go, Java, TypeScript, Rust, etc.)
Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systems
Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into simple, scalable AI-powered outcomes

Benefits

Dental
Vision
401(k)
Parental Leave
Life Insurance

Company

SpaceX

View company page

Source: greenhouse

Active within the past hour

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