Application Software Engineer, Applied AI

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 AIThe 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 operationsCreate new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilitiesOwn the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to productionDeep dive into users’ problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutionsArchitect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deploymentBuild and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and costStay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programsBASIC QUALIFICATIONS:Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree1+ years of experience in full stack developmentPREFERRED SKILLS AND EXPERIENCE:Hands-on experience evaluating, deploying, and integrating AI models into production systemsProven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered featuresProven track record of shipping real-world AI products from prototype through production deployment and iterationDeep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputsExperience 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 deploymentPrevious experience in AI product design, development, integration, testing, and productionizationStrong 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 codeProgramming experience in Python, C#.NET, Go, Scala, Java, or similarProduction 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 practicesAbility to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environmentADDITIONAL REQUIREMENTS:You may be asked to work extended hours/weekends dependent on launch cadenceThis role requires you to be onsite. Remote and/or hybrid work will not be consideredAbility to pass Air Force background check for Cape CanaveralITAR 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 View email address on click.appcast.io.