SpaceX
Aerospace
AISoftwareEngineer(VehicleEngineering)
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Software Engineer (Vehicle Engineering) at SpaceX. Skills: AI Software Engineering, Model Training, LLM Fine-tuning, Machine Learning Systems, Python. Design and train highly reliable, scalable AI/ML models that empower engineers across all SpaceX departments. Design agentic AI systems and multi-agent workflows to perform engineering tasks”
What You'll Achieve.
accelerate software development and test; accelerate rapid reuse of the Falcon launch vehicle; contribute to the development of the world's largest rocket capable of sending humans to Mars; accelerate engineering; transform day-to-day engineering operations; unlock engineering bottlenecks; transform how engineering data is accessed and used; deliver accurate, trustworthy, and production-ready outputs
Industry & Context.
solving complex AI data problems; solving problems
What They're Looking For.
Must Have
Bachelor’s degree in computer science, data science, engineering, math, or OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree, 1+ years of experience in AI software engineering with a focus on model training, fine-tuning, and machine learning systems, 1+ years of programming experience in Python
Nice to Have
Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning., Demonstrated experience training and fine-tuning large language models (LLMs) and other foundation models at scale, Proven track record training and optimizing machine learning models for computer vision (object detection, segmentation, 3D reconstruction, etc. ), Deep expertise with modern ML frameworks: PyTorch, TensorFlow, JAX, or equivalent, Experience designing and running large-scale ML training pipelines, including distributed training on GPU clusters, hyperparameter optimization, and experiment tracking, understanding of MLOps best practices: model versioning, experiment management (MLflow, Weights
What You'll Do.
Design and train highly reliable
scalable AI/ML models that empower engineers across all SpaceX departments
Design agentic AI systems and multi-agent workflows to perform engineering tasks
Build and optimize large-scale machine learning training pipelines to create next-generation AI applications that transform day-to-day engineering operations
Develop and fine-tune foundation models (LLMs
multimodal systems) for high-impact SpaceX use cases
Create production-grade AI tools for data analysis
and automated decision-making
Rapidly build and iterate on AI prototypes
rigorously quantifying model performance
and technical constraints
Own the complete AI model lifecycle — from data preparation and training infrastructure to deployment
and continuous improvement
Deep-dive into complex engineering problems to identify and implement efficient
custom-trained AI solutions
Establish rigorous AI standards for model validation
Ensure all AI systems undergo thorough testing and validation to deliver accurate
and production-ready outputs
training internal engineering models on SpaceX data
training models from scratch
using Reinforcement Learning (RL) to post train LLMs
employ other Machine Learning (ML) techniques to intelligently extract knowledge hidden from SpaceX data
working with a diverse set of AI technologies including building Agentic engineering tools
including engineering RAG based tool
and engineering MCP servers
How You'll Work.
Team & Collaboration
Collaborate with peers on AI architecture, model design, training strategies, and code reviews; work with a team of enthusiastic engineers; work closely with engineers throughout the company
Full 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. AI SOFTWARE ENGINEER (VEHICLE ENGINEERING) Be a member of the Artificial Intelligence Software Engineering team focusing on solving complex AI data problems for our launch vehicles and spacecrafts. Our team is creating AI systems to accelerate software development and test, avionics design, flight data review, logistics and mission operations. Your work will directly support the world's largest satellite communication and AI constellations, 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 developing core AI technologies to accelerate engineering. You will be responsible for training internal engineering models on SpaceX data. This will consist of training models from scratch, fine tuning models, and using Reinforcement Learning (RL) to post train LLMs. You will also employ other Machine Learning (ML) techniques to intelligently extract knowledge hidden from SpaceX data. You will also be responsible for working with a diverse set of AI technologies including building Agentic engineering tools, including engineering RAG based tool, and engineering MCP servers. The AI tools and models will used 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
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