Software Engineer (Vehicle Engineering)
SpaceXHawthorne, CA$120k – $150kPosted 24 February 2026
Tech Stack
Job Description
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.
SOFTWARE ENGINEER (VEHICLE ENGINEERING)
Be a member of the Artificial Intelligence Software Engineering team, focusing on solving complex data problems for our launch vehicles and spacecraft.
Our team is creating AI systems to accelerate software development and testing, avionics design, flight data review, logistics, and mission operations. Your work will directly support the world's largest satellite constellation, accelerate rapid reuse of the Falcon launch vehicle, and contribute to the development of the world's largest rocket capable of sending humans to Mars.
The role will consist of utilizing existing AI technologies and developing in-house solutions and processes to safely use AI. You will be responsible for working with a diverse set of technologies including setting up Large Language Models (LLMs) with Retrieval Augmented Generation (RAG), training internal models on SpaceX data, using Machine Learning (ML) to intelligently extract knowledge hidden in time-series data and developing new technologies to help engineers rapidly design and test space hardware including electronics and propulsion systems. The team will work closely with engineers throughout the company to create new AI systems to unlock engineering bottlenecks and transform how engineering data is accessed and used at SpaceX.
Aerospace experience is not required to be successful here - rather, we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission. You will have full ownership of challenging problems and work with a team of enthusiastic engineers to design and produce AI solutions that enable SpaceX to move towards our goals at a rapid pace.
RESPONSIBILITIES:
Develop highly reliable and scalable artificial intelligence pipelines to empower engineers across all SpaceX departments
Create new AI applications that will revolutionize day to day operations for engineers at SpaceX
Build AI driven data review tools
Collaborate with peers on architecture, design, and code reviews
Build prototypes to prove out key AI design concepts and quantify technical constraints
Own all aspects of AI software engineering and product development from initial prototyping
Deep dive into engineering problems to find efficient AI solutions
Develop security policies to protect data and user based policies to develop robust AI standards
Ensure that AI systems are properly vetted to ensure accurate and reliable output
BASIC QUALIFICATIONS:
Bachelor's degree in computer science, data science, engineering, math or physics; OR 4+ years of professional experience building software in lieu of a degree
1+ years of experience in AI software engineering, full stack development, and data science
PREFERRED SKILLS AND EXPERIENCE:
Programming experience in Python, C++, or similar languages
Building LLM RAG pipelines in LlamaIndex or similar
Experience fine tuning LLM models
Experience building complex Agentic workflows
Experience training ML models for computer vision systems
Experience working with AI systems and Machine learning and tools such as PyTorch, Tensorflow, or similar
Experience with relational databases, non-relational databases, vector databases, PostgreSQL, Qdrant, or similar
Experience Deploying containerized applications systems using Docker and Kubernetes
Experience developing on Linux systems
Good understanding of version control, testing, continuous integration, build, deployment and monitoring
Front-end experience in React, or similar JavaScript framework
Good understanding of statistics, machine learning algorithms and frameworks
ADDITIONAL REQUIREMENTS:
Must be available to work extended ho ... (truncated, view full listing at source)
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