Sobre este puesto de Operations Engineer (Facilities & Physical Infrastructure) en xAI
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 making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
ABOUT THE ROLE:
As a member of the facility operations team, you will apply your knowledge, experience, and creativity to help design, build, and activate some of the world’s most technically advanced data center facilities. Process flow, project planning, and detailed department-level metrics and dashboards all fall under the scope of this role. If you like strategic planning, juggling many different priorities, improving processes, and spending your time in a dynamic work environment, then this team may be for you!
RESPONSIBILITIES:
- Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow
- Maintenance program enhancement – increase attention on poor-health hardware and descope unnecessary work
- Support department continuous improvement projects such as new process rollouts/standardization
- Integrate with all levels of the business to understand current workflows and identify systematic gaps
- Define and develop department-level metrics & associated dashboards that quantify the health of our operations and influence change
- Conduct in-depth analyses through SQL queries and other data analysis methods to dive into problems and identify trends for decision making, following the rules of clear visual indicators and linear flow
- Create reports, tools, and standardized metrics for operational measurements and improvements
- Develop automation that mitigates business risk or creates efficiencies within the SpaceX factory
- Conduct department wide operations audits that streamline the repair and maintenance and construction engineering teams
- Implement construction management or maintenance tools (software or hardware) to reduce wasted effort by engineers and techs
- Site services analysis to ensure smart spending on contracts such as custodial, utilities, waste, etc. and roadmap to improve
- Build communication tools and reports targeted at factory workcell directors to improve communication and facilitate customer service
- Standardize material library and procurement process to reduce project lead times
- Drive alignment with maintenance and construction teams at other SpaceX sites across the country to reduce duplicated work
BASIC QUALIFICATIONS:
- Bachelor’s degree in an engineering discipline
- 1+ years of experience in operations/process improvement (internship experience qualifies)
- Experience with Excel, SQL, or Python
PREFERRED SKILLS AND EXPERIENCE:
- Previous experience working in a critical manufacturing, data center, or production environment
- Proficiency with statistics, data analysis, data visualization, and cost benefit analysis
- Experience with CAD software, ArcGIS, Archibus, Power BI, and JIRA
- Familiarity with inventory, production, and capacity planning (including MRP/ERP systems)
- Experience with lean, six sigma, and other related production principles
- Experience or education in management science and engineering, operations engineering, operations research, or industrial engineering
- Experience as a contributor to multi-disciplinary and cross-functional teams
- Ability to work in a fast-paced environment
- Excellent written and communication skills
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
