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Sr. AI Engineer, Platform Infrastructure, Special Programs

SpaceX - Washington, DC

Posted May 21, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$220K-$350K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

145% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Required From the posting source checked Jun 20, 2026

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. AI Engineer, Platform Infrastructure, Special Programs Washington, DC 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. AI ENGINEER, PLATFORM INFRASTRUCTURE, SPECIAL PROGRAMS As an AI Engineer, Platform Infrastructure you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well-tested, and foolproof. RESPONSIBILITIES: - Design and build the deployment generator. - Create and maintain platform documentation. - Build the bundle pipeline. - Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection. - Build and maintain the cross-profile CI matrix. - Build the testing and validation framework. - Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure. - Own the monitoring stack migration. BASIC QUALIFICATIONS: - Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline. - 5+ years of experience in Go Lang and/or Python. - 5+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications. PREFERRED SKILLS AND EXPERIENCE: - Ability

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