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About the Role

We are seeking a Rack Power Engineer with extensive experience in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. This role involves owning rack power solutions from conception through deployment, monitoring system health, leading investigations, and driving hardware and firmware improvements.

Responsibilities

Own rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure.
Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits.
Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs.
Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through.
Partner with firmware and software teams to define and validate PMC functionality, telemetry, alarms, power sequencing, power capping, and fault handling.
Verify communication interfaces, firmware updates, interoperability, and regression coverage.
Characterize rack power under representative AI workloads.
Translate steady-state demand and fast power excursions into design margins, protection settings, energy-storage needs, and deployment requirements with system and data center teams.
Establish fleet rack power health metrics with operations teams.
Analyze telemetry, event logs, and failure trends to detect degraded power capacity, redundancy loss, current imbalance, and recurring power faults.
Lead lab and fleet debugging across power hardware, firmware, and system interfaces.
Reproduce failures, identify root causes with suppliers, validate corrective actions, and feed lessons into designs, qualification tests, and fleet remediation.
Work with electrical, mechanical, thermal, firmware, manufacturing, reliability, and data center teams to take rack power systems through prototype builds, qualification, production, and deployment.
Drive supplier test reviews, manufacturing test coverage, and closure of power-related issues.
Evaluate emerging rack power technologies, including higher-voltage DC distribution and battery or supercapacitor energy storage.
Partner with suppliers to qualify viable solutions and with safety and compliance teams to address applicable product requirements.

Requirements

At least 10 years of industry experience in power electronics or power delivery systems, including hands-on design and qualification of high-power rack or data center power systems.
Strong knowledge of AC/DC rectifiers, power shelves, PSUs, and DC distribution, including three-phase inputs, power conversion topologies, control-loop stability, current sharing, redundancy, protection coordination, and high-current busbars and connectors.
Experience defining and qualifying PMCs or related power controllers, including telemetry, fault management, hardware–firmware integration, and interfaces such as PMBus, I²C, CAN, or Ethernet.
Understand how rack power controls interact with system power management.
Strong laboratory and debugging skills using oscilloscopes, power analyzers, programmable AC sources, electronic loads, and data acquisition systems.
Ability to build automated tests, analyze fleet telemetry with tools such as Python, and drive root-cause investigations through verified corrective actions.
Experience taking power products from requirements through qualification and production with suppliers and cross-functional teams.
Familiarity with safety, EMC, and reliability qualification.
Ability to communicate technical trade-offs clearly.
Ability to work effectively through ambiguity.
Experience with high-density AI racks, OCP power architectures, or energy-storage systems is a plus.
Candidates may need to meet certain legal status requirements due to U.S. export control laws and regulations.

Skills

High-power conversion
High-power distribution
Power shelves
AC/DC rectifiers
Power supply units (PSUs)
Power management controllers (PMCs)
High-current distribution
Power budgets
AC input interfaces
DC distribution
Redundancy
Efficiency
Serviceability
Data center infrastructure integration
Busbars
Connectors
Protection circuits
Electrical design review
Control behavior evaluation
Performance evaluation
Cost evaluation
Reliability evaluation
Availability evaluation
Component qualification
Shelf qualification
Rack qualification
Load transients
Current sharing
Hot-swap
Startup and shutdown
Redundancy failover
Fault protection
Fault recovery
Thermal limits
AC disturbances
AC ride-through
Firmware development
Software development
PMC functionality
Telemetry
Alarms
Power sequencing
Power capping
Fault handling
Communication interfaces
Firmware updates
Interoperability
Regression coverage
Rack power characterization
AI workloads
Steady-state demand analysis
Fast power excursion analysis
Design margins
Protection settings
Energy storage needs
Deployment requirements
Fleet rack power health metrics
Operations team collaboration
Telemetry analysis
Event log analysis
Failure trend analysis
Degraded power capacity detection
Redundancy loss detection
Current imbalance detection
Recurring power fault detection
Lab debugging
Fleet debugging
Power hardware debugging
Power firmware debugging
System interface debugging
Failure reproduction
Root cause analysis
Supplier collaboration
Corrective action validation
Lessons learned integration
Qualification test integration
Fleet remediation
Electrical engineering
Mechanical engineering
Thermal engineering
Manufacturing
Reliability engineering
Data center operations
Prototype builds
Production
Deployment
Supplier test review
Manufacturing test coverage
Power-related issue resolution
Emerging rack power technologies
Higher-voltage DC distribution
Battery energy storage
Supercapacitor energy storage
Safety compliance
Product requirements
Power electronics
Power delivery systems
Three-phase inputs
Power conversion topologies
Control-loop stability
Protection coordination
High-current busbars
High-current connectors
PMBus
I²C
CAN
Ethernet
System power management
Oscilloscopes
Power analyzers
Programmable AC sources
Electronic loads
Data acquisition systems
Automated test building
Python
Safety qualification
EMC qualification
Reliability qualification
Technical trade-off communication
Ambiguity management
High-density AI racks
OCP power architectures
Energy storage systems

Location

San Francisco, CA

Work Type

Hybrid

Experience Level

10+ years

Education Level

Master's degree in Electrical Engineering, Power Electronics, or related field, or equivalent practical experience

Benefits

Relocation assistance

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared.
Join us in shaping the future of technology.

Equal Opportunity

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information.
In addition, job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy