Mistral AI is seeking a Data Center Operations Manager to lead the build and run operations of our new data center in Borlänge, Sweden. As the first hire for this site, you will be responsible for establishing operational excellence, managing local teams, and ensuring the reliability, security, and efficiency of our AI infrastructure.

Key Responsibilities

• Lead the operational management of Mistral’s data center in Borlänge, overseeing build-out, day-to-day operations, and scalability to support our AI infrastructure.

• Hire and manage a local team of hardware engineers to support operations, maintenance, and troubleshooting.

• Oversee hardware deployment, upgrades, and decommissioning, ensuring alignment with Mistral’s infrastructure goals.

• Monitor and enforce Service Level Agreements (SLAs) with data center providers and subcontractors.

• Manage incidents and request tickets, ensuring timely resolution and clear communication with stakeholders.

• Ensure adherence to security protocols, contractual obligations, and regulatory requirements at the data center.

• Provide regular updates to internal teams and external partners on operational status, risks, and improvements.

• Establish processes and best practices for data center operations, ensuring high availability and performance.

• Manage local contracts with DC providers and OEM.

Qualifications & Experience

• Degree in Computer Science, Electrical/Mechanical Engineering, or related field, or equivalent experience, with a strong understanding of data center technical requirements and operations.

• Proven track record in data center operations, hardware management, or infrastructure support, preferably in HPC or cloud environments.

• Proven experience in recruiting, mentoring, and scaling a technical operations team from a greenfield deployment.

• Experience managing large-scale infrastructure projects, including build-outs, migrations, or upgrades.

• Strong ability to coordinate and lead vendors, contractors, and internal teams, including review, escalation, and contractual engagement.

• Comfortable with contract negotiation and management.

• Hands-on troubleshooting skills and ability to work and lead in critical situations and aggressive timelines.

• Knowledge of data center security standards (physical and digital) and compliance requirements.

• Language Skills: Fluency in English and Swedish is a plus.

Why Join Mistral?

• Impact: Play a pivotal role in scaling Mistral’s cutting-edge AI infrastructure.

• Growth: Opportunity to shape data center operations from the ground up in a high-growth startup environment.

• Collaboration: Work with a talented, cross-functional team passionate about AI and technology.

• Flexibility: Competitive compensation, benefits, and the chance to contribute to revolutionary projects.

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Key Responsibilities • Lead the operational management of Mistral’s data center in Borlänge, overseeing build-out, day-to-day operations, and scalability to support our AI infrastructure. • Hire and manage a local team of hardware engineers to support operations, maintenance, and troubleshooting. • Oversee hardware deployment, upgrades, and decommissioning, ensuring alignment with Mistral’s infrastructure goals. • Monitor and enforce Service Level Agreements (SLAs) with data center providers and subcontractors. • Manage incidents and request tickets, ensuring timely resolution and clear communication with stakeholders. • Ensure adherence to security protocols, contractual obligations, and regulatory requirements at the data center. • Provide regular updates to internal teams and external partners on operational status, risks, and improvements. • Establish processes and best practices for data center operations, ensuring high availability and performance. • Manage local contracts with DC providers and OEM.

Qualifications & Experience • Degree in Computer Science, Electrical/Mechanical Engineering, or related field, or equivalent experience, with a strong understanding of data center technical requirements and operations. • Proven track record in data center operations, hardware management, or infrastructure support, preferably in HPC or cloud environments. • Proven experience in recruiting, mentoring, and scaling a technical operations team from a greenfield deployment. • Experience managing large-scale infrastructure projects, including build-outs, migrations, or upgrades. • Strong ability to coordinate and lead vendors, contractors, and internal teams, including review, escalation, and contractual engagement. • Comfortable with contract negotiation and management. • Hands-on troubleshooting skills and ability to work and lead in critical situations and aggressive timelines. • Knowledge of data center security standards (physical and digital) and compliance requirements. • Language Skills: Fluency in English and Swedish is a plus.

Why Join Mistral? • Impact: Play a pivotal role in scaling Mistral’s cutting-edge AI infrastructure. • Growth: Opportunity to shape data center operations from the ground up in a high-growth startup environment. • Collaboration: Work with a talented, cross-functional team passionate about AI and technology. • Flexibility: Competitive compensation, benefits, and the chance to contribute to revolutionary projects.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.

About the role

As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.

Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.

Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.

In this role, you will:

• Build and maintain automation systems for provisioning and managing server fleets.

• Develop tools to monitor server health, performance, and lifecycle events.

• Collaborate with clusters, networking, and infrastructure teams.

• Partner with external operators to ensure a high level of quality.

• Identify and fix performance bottlenecks and inefficiencies.

• Continuously improve automation to reduce manual work.

You might thrive in this role if you have:

• Experience managing large-scale server environments.

• A balance of strengths in building and operationalizing.

• Proficiency in Python, Go, or similar languages.

• Strong Linux, networking, and server hardware knowledge.

• Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.

Prior hardware expertise is not required for this role.

Bonus Skills:

• Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)

• Knowledge of hardware management protocols (e.g., IPMI, Redfish).

• High-performance computing (HPC) or distributed systems experience.

• Prior experience developing, managing, or designing hardware.

• Familiarity with monitoring tools (e.g., Prometheus, Grafana).

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.

About the role

As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.

Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.

Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.

In this role, you will:

• Build and maintain automation systems for provisioning and managing server fleets.

• Develop tools to monitor server health, performance, and lifecycle events.

• Collaborate with clusters, networking, and infrastructure teams.

• Partner with external operators to ensure a high level of quality.

• Identify and fix performance bottlenecks and inefficiencies.

• Continuously improve automation to reduce manual work.

You might thrive in this role if you have:

• Experience managing large-scale server environments.

• A balance of strengths in building and operationalizing.

• Proficiency in Python, Go, or similar languages.

• Strong Linux, networking, and server hardware knowledge.

• Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.

Prior hardware expertise is not required for this role.

Bonus Skills:

• Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)

• Knowledge of hardware management protocols (e.g., IPMI, Redfish).

• High-performance computing (HPC) or distributed systems experience.

• Prior experience developing, managing, or designing hardware.

• Familiarity with monitoring tools (e.g., Prometheus, Grafana).

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.

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