Operations Engineer, Construction & Site Efficiency

SpaceX Super Intelligence

Memphis (TN)

On-site

USD 80,000 - 120,000

Full time

13 days ago

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Job summary

SpaceXSI is building Super Intelligence to help humanity understand the universe. As an Operations Engineer in Construction & Site Efficiency, you will design and activate datacenter and AI compute facilities, develop internal dashboards, and support continuous improvement projects across the department.

You will work with cross-functional teams, analyze workflows with SQL and other tools, and create standardized metrics to drive efficient operations while accommodating fast-paced, evolving

Qualifications

  • Bachelor’s degree in an engineering discipline is required.
  • 2+ years of experience in operations/process improvement (internship qualifies).
  • Experience with Excel, SQL, or Python (or similar tools).

Responsibilities

  • Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow.
  • Support continuous improvement projects such as new process rollouts/standardization.
  • Define and develop department-level metrics and dashboards to quantify operations health.

Skills

Operations optimization
Data analysis
Cross-functional collaboration

Education

Bachelor’s degree in engineering

Tools

Excel
SQL
Python

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 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 learn next.

As a member of the SpaceXSI infrastructure team, you will apply your knowledge, experience, and creativity to help design, build, and activate some of the world’s most technically advanced data centers and AI compute facilities. The Construction and Infrastructure team builds the machine that makes the machine—in this case, the hyperscale facilities that power the world’s most advanced AI systems. Process flow, equipment integration, 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, fast-paced work environment, then this team may be for you! This role will report directly to the department head and serve as a key resource org-wide.

OPERATIONS ENGINEER, CONSTRUCTION & SITE EFFICIENCY
RESPONSIBILITIES:
  • Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow
  • 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 SpaceXSI's data center facilities
  • Conduct department-wide operations audits that streamline the repair, maintenance, and construction engineering teams
  • Maintenance program enhancement – increase attention on poor-health hardware and descope unnecessary work
  • 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, power, cooling, and fiber, etc., and roadmap improvements
  • Build communication tools and reports targeted at facility and site 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 SpaceXSI sites across the country to reduce duplicated work
BASIC QUALIFICATIONS:
  • Bachelor’s degree in an engineering discipline
  • 2+ 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 data center, hyperscale infrastructure, manufacturing, supply chain, or production environment
  • Proficiency with statistics, data analysis, data visualization, and cost benefit analysis
  • Experience with CAD software, ArcGIS, Archibus, Power BI, JIRA, or similar tools
  • Familiarity with inventory, production, capacity planning, and critical infrastructure systems (including MEP, BMS/SCADA, or ERP systems)
  • Experience with lean, six sigma, and other related production/operational excellence 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
ADDITIONAL REQUIREMENTS:
  • Must be able to work extended hours and/or weekends as needed, including occasional short-notice domestic travel

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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