Data Center Controls Engineer at OpenAI

San Francisco, California, United States

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$310,000 – $460,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Centers, AI InfrastructureIndustries

Requirements

10+ years of experience in control system architecture, design, and implementation for large-scale data centers or mission-critical facilities
Strong knowledge of industry codes, standards, and compliance requirements for mission-critical operations
Proven expertise in automation and industrial control system protocols (e.g., BACnet, Modbus, OPC, SNMP, LON)
Hands-on experience with PLC, DCS, SCADA, and HMI systems
Deep understanding of data center operations, infrastructure systems, and control system integration
Demonstrated ability to rapidly design, test, and implement reliable control software solutions
Extensive experience in monitoring and controls for HVAC, power, and mechanical systems
Successful track record of selecting, managing, and collaborating with external vendors, contractors, and consultants
Bachelor’s degree in Controls Engineering or a related field; advanced degree or professional certifications preferred

Responsibilities

Develop and maintain control system design standards, specifications, templates, and reference models for hyperscale AI data centers
Design and implement control system architectures for data center infrastructure, including EPMS, SCADA, BMS, PLC, and DDC systems
Lead software integration for monitoring and control platforms, ensuring reliability, maintainability, and compliance with industry codes and safety standards
Direct the design, testing, deployment, and ongoing maintenance of control solutions for new facilities
Manage external vendors, contractors, and consultants to ensure high-quality system delivery and long-term support
Partner with engineering and operations teams to align control systems with performance, resiliency, and efficiency goals
Optimize telemetry and monitoring capabilities to accurately capture power and cooling load transients and improve overall system performance

Skills

Key technologies and capabilities for this role

SCADAEPMSBMSPLCDDCcontrol systemsautomationmonitoringsoftware integrationvendor management

Questions & Answers

Common questions about this position

What is the salary range for the Data Center Controls Engineer position?

The salary range is $310K - $460K.

Is this role remote or hybrid?

The position is hybrid.

What experience and skills are required for this role?

Candidates need 10+ years of experience in control system architecture, design, and implementation for large-scale data centers or mission-critical facilities, strong knowledge of industry codes and standards, expertise in protocols like BACnet, Modbus, OPC, SNMP, LON, and hands-on experience with PLC, DCS, SCADA, and HMI systems.

What is the team like at OpenAI for this role?

The Data Center Engineering team defines infrastructure strategy, drives technical innovation, partners with research to set performance benchmarks, and develops reference designs for rapid, scalable global deployment of AI data centers.

What makes a strong candidate for this position?

A strong candidate has 10+ years in control systems for data centers, expertise in SCADA, EPMS, BMS, PLC, protocols like BACnet and Modbus, experience managing vendors, and a Bachelor's degree, with a passion for building cutting-edge systems for AI workloads.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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