Application Software Engineer, Applied AI
SpaceX is hiring an Application Software Engineer, Applied AI. Level rates it ; you can apply on SpaceX.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Tools and skills the posting cites include LLMs, AI agents and fine tuning.
- Level classifies it as a mid-level role.
- Level lists 2,800+ other open roles at SpaceX.
AI in this role
Design, evaluate, and deploy modern AI systems and large language models to power mission-critical applications across 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.
APPLICATION SOFTWARE ENGINEER, APPLIED AI
The application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.
In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems—including large language models and agentic systems—that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.
Aerospace experience is not required – rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.
RESPONSIBILITIES:
- Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations
- Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities
- Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production
- Deep dive into users’ problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions
- Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment
- Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost
- Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs
BASIC QUALIFICATIONS:
- Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
- 1+ years of experience in full stack development
PREFERRED SKILLS AND EXPERIENCE:
- Hands-on experience evaluating, deploying, and integrating AI models into production systems
- Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features
- Proven track record of shipping real-world AI products from prototype through production deployment and iteration
- Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs
- Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)
- Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment
- Previous experience in AI product design, development, integration, testing, and productionization
- Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code
- Programming experience in Python, C#.NET, Go, Scala, Java, or similar
- Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)
- Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)
- Demonstrated ability to stay current with rapidly evolving AI technologies and best practices
- Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment
ADDITIONAL REQUIREMENTS:
- You may be asked to work extended hours/weekends dependent on launch cadence
- This role requires you to be onsite. Remote and/or hybrid work will not be considered
- Ability to pass Air Force background check for Cape Canaveral
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
Application Software Engineer, Applied AI at SpaceX rates 90 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
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where applied ai was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Fine-tuning, Applied AI, Software Engineering, and Machine learning. 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.
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