СШАSr. Data Center Safety Engineer (AI Supercomputer)
2 нед. назад
СШАSeniorOnsite
arc-flash analysislockout/tagoutfmeahazoprisk assessmentgroundingpower quality monitoring
Engineer responsible for implementing safety controls and risk assessments in large-scale AI data center infrastructure.
Обязанности
- Oversee electrical safety programs including arc-flash analysis, lockout/tagout (LOTO), and safe work practices on UPS, PDUs, switchgear, and generators
- Conduct regular risk assessments of power systems, cooling infrastructure, fire/smoke, energy storage, and human factors
- Perform Failure Mode and Effects Analysis (FMEA), HAZOP studies, and other structured risk assessments for critical systems
- Ensure proper grounding, bonding, and power quality monitoring/telemetry to prevent equipment damage and personnel injury
- Validate automatic transfer switch (ATS) and generator failover procedures from a safety perspective
- Monitor and mitigate risks related to cooling failures, hot spots, thermal runaway, and extreme temperature/humidity conditions
- Establish safe operating limits and emergency response procedures for CRAC/CRAH, chillers, energy storage systems, and liquid cooling systems
- Develop, maintain, and regularly drill emergency response plans for power loss, cooling failure, fire, water events, and other critical incidents
- Ensure compliance with applicable codes and standards (NFPA, OSHA, IEC, local building/fire codes, Uptime Institute guidelines, ISO 45001, etc.)
- Conduct regular risk assessments of power systems, cooling infrastructure, fire/smoke, and human factors
- Monitor and mitigate risks related to cooling failures, hot spots, thermal runaway and extreme temperature/humidity conditions
- Establish safe operating limits and emergency response procedures for CRAC/CRAH, chillers, energy storage and liquid cooling systems
Требования
- Bachelor’s degree in electrical engineering, mechanical engineering, industrial/systems engineering, chemical engineering, fire protection engineering, or related field
- 5+ years of professional experience in electrical power systems, critical-facility operations, manufacturing, quality and/or design engineering role
- This is not a remote or hybrid position and will require relocation if not already local to the Memphis, TN area
- Position occasionally requires the ability to travel and support other critical computing infrastructure
- 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. Learn more about the ITAR here .
Будет плюсом
- Experience with programming PLCs, IoT device administration, and scripting/coding for automation or data analysis
- Proficiency with PFMEA, root cause analysis, statistical process control, and structured problem-solving methodologies
- Experience with CAE / CFD tools (Ansys)
- CSP (Certified Safety Professional)
- PE (Professional Engineer) license
- CEM (Certified Energy Manager) or data-center-specific credentials
- NFPA-related certifications
- Hands-on experience in data centers, critical facilities, or mission-critical environments
- Strong interpersonal and collaborative skills, enthusiasm for the mission of enabling multi-planetary life
Другое
- 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 is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
- The Environmental Health and Safety team is seeking highly driven engineers to establish both human and system safety controls throughout the expansion of 's large-scale AI infrastructure and supercomputing facilities in the Memphis area. This role is critical in ensuring high-density critical infrastructure meets rigorous control reliability requirements enabling the safe rapid scaling of compute capacity to meet aggressive deployment timelines. The ideal candidate will have a comprehensive understanding of electrical system architecture, thermodynamics, heat transfer, and energy storage system architecture.