SpaceX is looking to revolutionize engineering and production workflows for launch vehicles and spacecrafts by leveraging AI and software development, with the ultimate goal of enabling human life on Mars and increasing launch rates.
Requirements
- 8+ years of experience in the design, build, and operations of launch vehicles or complex aerospace systems in a classical engineering context (e.g., propulsion, structures, or systems integration).
- Demonstrated ability to influence cross-functional teams without direct authority, guiding technical architecture in collaborative environments.
- Hands-on development of agentic AI workflows for automation in engineering or manufacturing contexts.
- Experience with machine learning for time-series analysis, simulation acceleration, or predictive modeling in aerospace applications (e.g., using PyTorch, TensorFlow, or similar).
- Advanced experience with AI/ML technologies, including building LLM-based systems with RAG (e.g., using LlamaIndex or LangChain) and/or fine-tuning models on domain-specific data.
Responsibilities
- Architect end-to-end AI systems that integrate with engineering workflows, from design and simulation to manufacturing, testing, and operations for launch vehicles and spacecrafts.
- Leverage LLMs and other AI technologies to develop software toolsets that automate repetitive tasks, enhance data-driven insights, and accelerate production cycles.
- Collaborate with Propulsion, Structures, Dynamics, GNC, Avionics, Software, production, and supply chain teams to identify bottlenecks and co-design AI solutions that ensure unified architecture.
- Exercise technical leadership and soft influence to align diverse teams on AI standards, best practices, and scalable implementations, fostering a cohesive ecosystem.
- Prototype and iterate on AI-driven tools for real-time flight data analysis, predictive maintenance, and re-flight optimization, quantifying impact on engineering efficiency.
- Develop secure, reliable AI pipelines that adhere to SpaceX data policies, including retrieval-augmented generation (RAG) and agentic workflows tailored to aerospace challenges.
- Guide the evaluation and integration of emerging AI technologies, ensuring they enhance responsible engineering practices while maintaining accountability and safety.
Other
- Must be available to work extended hours and weekends when needed to meet critical deadlines.
- Ability to travel as needed to support integration with production and launch sites.
- 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.
