Principal Software Engineer (Platform Team)

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.

PRINCIPAL 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 Principal Software Engineer for SpaceX's AI platform, you will set the technical vision and serve as a senior leader and entrepreneurial force for the leanest and most effective applied use of AI at SpaceX. You will architect platforms that convert engineering know-how into tested software, automation, and reliable data stores at massive scale while pioneering 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 strategic leadership will be critical to accelerating SpaceX production and development by making trustworthy AI a core capability for every team at SpaceX.

RESPONSIBILITIES:

Define and drive the long-term technical vision and architecture for SpaceX’s AI platform and security infrastructure
Lead high-impact initiatives with full ownership over strategy, design, implementation, and successful company-wide rollout
Oversee onboarding of frontier models, massive compute scaling, and continuous optimization of proxy systems for security, efficiency, logging, and control
Lead adoption efforts at scale — establishing standards, mentoring senior engineers, building reusable assets, and driving cultural change toward AI-first workflows
Proactively identify and execute on the highest-leverage opportunities to turn ideas into production software, trained models, and automated systems with managed, reliable compute
Invent and scale advanced risk-mitigation capabilities (AI code review, automated PR tools, safety systems) that protect and accelerate the business
Establish best practices and technical direction for lean, secure, and maximally effective applied AI across the company
Serve as a key technical advisor and collaborator with leadership and cross-functional teams to align platform capabilities with SpaceX’s most ambitious goals

BASIC QUALIFICATIONS:

Bachelor’s degree in computer science, computer engineering, or other engineering discipline and 7+ years of professional experience building and scaling production platforms; OR 9+ years of professional experience building and scaling production platforms in lieu of a degree
Experience designing and operating large-scale AI/ML platforms, internal developer platforms, or mission-critical infrastructure

PREFERRED SKILLS AND EXPERIENCE:

Demonstrated success architecting and scaling AI gateways, secure proxy layers, or enterprise MLOps platforms that serve hundreds of users
Expert-level experience with Docker/Kubernetes ecosystems, zero-trust security models, and multi-cloud/frontier-model integrations
Deep expertise in MLOps, distributed compute, model lifecycle management, and building highly observable, reliable systems
Strong history of enabling organization-wide impact through technical leadership, mentoring, and creation of shared platforms and standards
Entrepreneurial leadership with a proven ability to spot and deliver transformative solutions
Mastery of Python and broad expertise across modern languages and tooling
Extensive experience with infrastructure-as-code, advanced observability, and building platforms that others love to use
Deep passion for responsible AI, developer velocity, and converting deep engineering knowledge into reliable automation at planetary scale

COMPENSATION AND BENEFITS:

Pay range:
Principal Software Engineer: $200,000.00 - $285,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive 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, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be 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.

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.

Details

Location

Hawthorne, CA, USA

Salary

$200,000 – $285,000/year

Experience

Min. 7 years7+ years of professional experience building and scaling production platforms; OR 9+ years in lieu of a degree

Technologies

Docker

Python

Kubernetes

PRINCIPAL SOFTWARE ENGINEER (PLATFORM TEAM)

RESPONSIBILITIES:

Define and drive the long-term technical vision and architecture for SpaceX’s AI platform and security infrastructure
Lead high-impact initiatives with full ownership over strategy, design, implementation, and successful company-wide rollout
Oversee onboarding of frontier models, massive compute scaling, and continuous optimization of proxy systems for security, efficiency, logging, and control
Lead adoption efforts at scale — establishing standards, mentoring senior engineers, building reusable assets, and driving cultural change toward AI-first workflows
Proactively identify and execute on the highest-leverage opportunities to turn ideas into production software, trained models, and automated systems with managed, reliable compute
Invent and scale advanced risk-mitigation capabilities (AI code review, automated PR tools, safety systems) that protect and accelerate the business
Establish best practices and technical direction for lean, secure, and maximally effective applied AI across the company
Serve as a key technical advisor and collaborator with leadership and cross-functional teams to align platform capabilities with SpaceX’s most ambitious goals

BASIC QUALIFICATIONS:

Bachelor’s degree in computer science, computer engineering, or other engineering discipline and 7+ years of professional experience building and scaling production platforms; OR 9+ years of professional experience building and scaling production platforms in lieu of a degree
Experience designing and operating large-scale AI/ML platforms, internal developer platforms, or mission-critical infrastructure

PREFERRED SKILLS AND EXPERIENCE:

Demonstrated success architecting and scaling AI gateways, secure proxy layers, or enterprise MLOps platforms that serve hundreds of users
Expert-level experience with Docker/Kubernetes ecosystems, zero-trust security models, and multi-cloud/frontier-model integrations
Deep expertise in MLOps, distributed compute, model lifecycle management, and building highly observable, reliable systems
Strong history of enabling organization-wide impact through technical leadership, mentoring, and creation of shared platforms and standards
Entrepreneurial leadership with a proven ability to spot and deliver transformative solutions
Mastery of Python and broad expertise across modern languages and tooling
Extensive experience with infrastructure-as-code, advanced observability, and building platforms that others love to use
Deep passion for responsible AI, developer velocity, and converting deep engineering knowledge into reliable automation at planetary scale

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.