Software Engineer (Vehicle Engineering)

About This Role

Join the Artificial Intelligence Software Engineering team at SpaceX to develop AI systems for launch vehicles and spacecraft, accelerating software development, avionics design, and flight data review with the goal of enabling human life on Mars.

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

Requirements

• Bachelor's degree in computer science, data science, engineering, math or physics OR 4+ years of professional experience building software
• 1+ years of experience in AI software engineering, full stack development, and/or data science

Qualifications

• Bachelor's degree in computer science, data science, engineering, math or physics
• 1+ years of experience in AI software engineering, full stack development, and data science, OR 4+ years of professional experience building software in lieu of a degree

Nice to Have

• 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

Skills

* Required skills

Benefits