Sr. Software Engineer (Platform Team)
SpaceX is hiring a Sr. Software Engineer (Platform Team) in Palo Alto, United States. It pays $170k-$235k a year and Level rates it ; you can apply on SpaceX.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- Pay on this posting starts in line with the typical software engineer posting on Level.
- The posting mentions Docker, Cloud Compute and MLOps among its tools and skills.
- Level classes it as a senior role.
- SpaceX has 2,800+ other open roles on Level.
AI in this role
Lead the design and scaling of foundational AI platforms, gateways, and proxy infrastructure for SpaceX.
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
COMPENSATION AND BENEFITS:
Pay range:
Sr. Software Engineer: $170,000.00 - $235,000.00/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.
How we rate this
Sr. Software Engineer (Platform Team) at SpaceX rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $170k
- Typical software engineer job
- $167k
This posting starts close to the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where system architecture was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where security was part of your work. What did you do?
- Walk me through how you've used Docker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, System Architecture, AI Infrastructure, Security, and Docker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new software engineer jobs (Builds AI ●●●●) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that build AI, at other companies.
Principal Member of Technical Staff (PMTS) / Staff Software Engineer – AI Platform (Agentic Systems)
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step