EngineeringOn-site

Sr. Software Engineer (Platform Team)

SpaceX · On-site

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Last seen by MeritLog September 10, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from SpaceX's Greenhouse job board and last checked it on September 10, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: Bastrop, TX
Occupation: Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at SpaceX

SpaceX has 2,377 live roles in MeritLog’s catalog across 11 job families, and 1,426 of them are in engineering. 197 of those listings publish a pay range, a disclosure rate of 8%.

SpaceX concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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

What they're asking for

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 degreeEducation
Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)Skill
Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environmentSkillPreferred
Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providersSkillPreferred
Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usageSkillPreferred
Demonstrated ability to enable and mentor others through tools, documentation, training, and direct partnershipSkillPreferred
Entrepreneurial track record of identifying opportunities and delivering outsized impactSkillPreferred
Proficiency in Python and strong experience with additional languages (Go, Java, TypeScript, Rust, etc.)SkillPreferred
Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systemsSkillPreferred
Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into simple, scalable AI-powered outcomesSkillPreferred
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. Learn more about the ITAR here.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. SOFTWARE ENGINEER (PLATFORM TEAM) The Platform Team builds the foundational tooling and security infrastructure that empowers every team at SpaceX to harness AI effectively. This team creates secure, scalable gateways and proxy systems that allow engineers and operators across the company to write code faster, perform advanced data analysis, connect AI to their daily tools and problems, and turn ideas into deployed solutions with confidence. By onboarding new frontier models, expanding compute capacity, optimizing proxy efficiency for logging and control, and building shared prompts, skills, and infrastructure, this team unlocks reliable, high-impact AI capabilities across the entire organization. As a Sr. Software Engineer for SpaceX's AI platform, you will be a key technical leader and entrepreneurial builder focused on the leanest and most effective applied use of AI at SpaceX. You will design and scale platforms that convert engineering know-how into tested software, automation, and reliable data stores at company scale while creating risk-mitigation tools such as intelligent code review and PR assistants. Current systems are built with Docker containers acting as secure gateways and proxies that integrate with any cloud compute provider and multiple frontier model providers. Your work will directly accelerate SpaceX production and development by enabling every team to move faster with trustworthy AI. 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 BASIC QUALIFICATIONS: • 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 SKILLS AND EXPERIENCE: • 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 ITAR REQUIREMENTS: • 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. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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