About this role
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.
OPERATIONS ENGINEER (STARSHIP PRODUCTION)
The Operations Engineer (Starship Production) role optimizes production processes for SpaceX's Starship program through strategic planning, resource alignment, and data-driven analysis to mitigate risks and enhance efficiency in capacity, cost, and output. This involves developing tools, process models, and line layouts; identifying root causes of challenges; implementing solutions; and tracking KPIs while collaborating cross-functionally to capture best practices and drive improvements in quality, safety, and throughput.
RESPONSIBILITIES:
• Develop tools to analyze delivery, capacity, cost, utilization, and efficiency problems for production, supply chain, and operations to guide decisions
• Work as part of a team to develop and manage production strategy to mitigate future production risks and seize emerging opportunities to improve quality, output, safety, and cost
• Develop process flow models to analyze production system behavior and synchronize output with other elements of the company
• Design and implement production line layouts that meet throughput demands while utilizing space efficiently
• Identify operational challenges within the organization, determine root cause, and develop & implement appropriate solutions
• Develop and track key performance measures, and identify decision points and actions to optimize production to meet demand
• Actively develop system and process improvements within and between production elements by spending time on the production floor
• Collaborate with cross-departmental partners in supply chain, engineering, operations, production, infrastructure, and accounting groups to synchronize efforts
• Capture best practices of production systems, and manage organizational knowledge and lessons learned
BASIC QUALIFICATIONS:
• Bachelor’s degree in an engineering discipline or mathematics/physics
• 2+ years of professional experience in manufacturing or industrial project management, or 1+ years of experience in using Excel, SQL, or Python/R for analysis or modeling dynamic systems
PREFERRED SKILLS AND EXPERIENCE:
• Proficiency with statistics, data analysis, cost/benefit analysis, and visualization
• Experience with CAD software, Power BI, and discrete event modeling tools
• Experience with inventory, production, and capacity planning (including MRP/ERP systems)
• Experience as an industrial, operations, process or manufacturing engineer in a developmental manufacturing environment
• Experience with lean, six sigma, and related production principles
• Experience or education in management science and enginee