Software Engineer, Data Center Simulation

Analyticsengineering; San Francisco (CA); On-site; USD 130,000 - 200,000; Full time

Job summary

A leading company in technology is seeking a Software Engineer – Data Center Simulation to design and implement advanced software models for large-scale data centers. This role emphasizes predictive analytics, collaboration with cross-functional teams, and the development of simulation tools that improve operational efficiency. Ideal candidates will have substantial experience in modeling, simulation, and a strong educational background in relevant fields.

Qualifications

• 10+ years of experience in large system modeling and simulation.
• Experience integrating simulation tools with operational workflows.
• Strong knowledge of performance analysis and system validation.

Responsibilities

• Design and develop modeling tools for data center analysis.
• Integrate simulation models into existing workflows.
• Collaborate with cross-functional teams on system-scale modeling.

Skills

Modeling and simulation

Predictive analytics

Data visualization

Digital twin methodologies

Supercomputing

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Job description

Position Overview:
We are seeking a Software Engineer – Data Center Simulation with 15+ years of experience in developing modeling and simulation tools for large-scale, mission-critical facilities. This role focuses on designing and implementing advanced software models to evaluate performance, reliability, cost, and operational efficiency of data centers at an unprecedented scale. In this role, you will work closely with technical experts across multiple domains (networking, power, cooling, logistics, construction, and operations) to develop predictive simulation tools that drive design, optimization, operations, and decision-making. If you are passionate about supercomputing, large-scale system modeling, and digital twin development, we encourage you to apply!

Key Responsibilities:

• Design and develop modeling tools to evaluate data center design, performance, cost, and operational trade-offs from concept to operation phase.

• Build simulation frameworks that generate Bill of Materials (BOMs), validate deliveries, and provide predictive performance/reliability analysis.

• Develop both backend modeling software and intuitive front-end visualization tools to enable data-driven decision-making.

• Integrate simulation models into existing workflows, from concept development to full-scale operations.

• Collaborate closely with cross-functional teams to ensure modeling tools align with real-world power, cooling, networking, and logistics constraints.

• Leverage digital twin methodologies to create high-fidelity, predictive models for large-scale data center infrastructure.

• Analyze and back-test predictions, improving accuracy and reliability of performance and cost modeling.

• Think big about system-scale modeling, building solutions that support the next generation of hyper-scale data centers.

Qualifications:

• 10+ years of experience in supercomputing, large system modeling, and simulation for mission-critical infrastructure.

• Strong experience in large-scale digital twin development and predictive analytics.

• Proven track record in modeling system development, validation, and verification for data centers or similarly complex environments.

• Expertise in developing backend modeling software and building visualization tools for performance analysis.

• Familiarity with networking, power, cooling, logistics, and data center operations.

• Ability to quickly implement reliable software and analyze complex datasets for optimization.

• Experience integrating simulation tools with real-world operational workflows.

• Bachelor’s degree in Computer Science, Engineering, or a related field (advanced degrees preferred).

Preferred Skills:

• 15+ years of experience in simulation modeling for large-scale data centers.

• Extensive experience in AI-driven modeling, predictive analytics, and automation for mission-critical systems.

• Familiarity with high-performance computing (HPC) environments for simulation workloads.

• Strong knowledge of software engineering best practices, data visualization, and large-scale infrastructure modeling.

About OpenAI

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.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

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