Sr. AI Engineer, Special Programs
Role Overview
The Special Programs team engineers and deploys AI capabilities, models, APIs, tools, and integrations for U.S. federal agencies.
The role collaborates with product, research, infrastructure, and legal/governance teams to support missions while upholding safety, transparency, and ethical standards.
Key Skills for This Role
Full Job Posting
About SpaceX
SpaceX develops technologies to enable human exploration of space, with the goal of enabling human life on Mars.
Role overview
The Special Programs team engineers and deploys AI capabilities, models, APIs, tools, and integrations for U.S. federal agencies.
The role collaborates with product, research, infrastructure, and legal/governance teams to support missions while upholding safety, transparency, and ethical standards.
Responsibilities
- Design, build, and optimize integrations between frontier AI models and government systems, platforms, and data environments.
- Collaborate on custom SDKs, APIs, developer tools, and documentation for government and enterprise developers.
- Partner with agency stakeholders to understand requirements, prototype solutions, and iterate from real-world feedback.
- Ship production-grade code and features focused on speed, simplicity, and measurable impact.
Basic qualifications
- Bachelor's degree in computer science or another STEM discipline, or at least 2 years of professional software development experience in lieu of a degree.
- At least 5 years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications.
- Strong Python proficiency; other programming languages are a plus.
Preferred skills and experience
- Experience with large language models, generative AI, or agentic systems is preferred.
- Familiarity with government or public-sector technology or regulated industries is preferred.
- Product sensibility, problem-solving, intellectual curiosity, and communication skills are preferred.
- Experience with AI safety, governance, red-teaming, or responsible AI deployment is preferred.
- Experience with cloud platforms such as AWS, GCP, or Azure; Docker or Kubernetes; or API orchestration is preferred.
- Background in policy-adjacent technical roles, civic tech, or public-interest technology is preferred.
- Contributions to open-source AI projects or developer tools are preferred.
Additional requirements
- Must be willing to work extended hours and weekends as needed.
- Travel to government sites may be required, up to 20%.
- Must successfully obtain and maintain a Top Secret Security Clearance as a condition of employment.
Compensation
- Annual base pay range for the Senior AI Engineer role is $220,000–$350,000.
- Actual level and base salary depend on job-related knowledge, skills, education, and experience.
- Additional rewards may include stock or long-term cash awards, bonuses, benefits, paid leave, and other perks.
ITAR eligibility
- Applicants must meet U.S. Government export-control eligibility requirements or be eligible to obtain the required authorizations.
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