At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a company that democratizes AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

Our offerings include le Chat, the AI assistant for life and work. We are a team passionate about AI and its potential to transform society.

Role Summary

Our compute footprint is growing fast to support our science and engineering teams. We’re hiring a Datacenter HW Engineer to maintain, troubleshoot, and scale our GPU/CPU clusters safely and reliably.

What you will do

• Diagnose & operate core server/cluster components - Investigate and handle compute/storage hardware issues (CPU, memory, drives, NICs, GPUs, PSUs) and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand).
• Safety & procedures - Apply lockout/tagout (LOTO) and ESD discipline; follow pre/post-work checklists; maintain tidy, safe work areas.
• First-line diagnostics - Triage using LEDs, POST, beep codes and basic tests; capture evidence (photos, serials, results); open/update/close tickets with clear notes.
• Preventive maintenance - Provide feedback and ideas to improve proactive activities, monitoring, and targeted follow-ups on recurring or specific anomalies; help turn ad-hoc checks into SOPs, alerts, and dashboards.
• Parts & logistics - Receive and track parts, keep labeled inventory accurate, manage simple RMAs, and coordinate with vendors.
• Collaboration & escalation - Partner with senior hardware/firmware owners on complex or multi-node issues; communicate status and next steps crisply.
• Documentation & quality - Keep SOPs/checklists current; ensure zero undocumented changes and consistent, audit-ready records.

About you

• Hands-on mindset in datacenters/server hardware: you can install/re-seat/swap GPU/PCIe cards, NICs, PSUs, drives, and work cleanly in racks (rails, cabling, labeling).
• Disciplined and meticulous: follows checklists, ESD/LOTO; no rough handling; careful with all high-value server components.
• Practical electrical basics: power-off, PPE, short-circuit risk awareness.
• Comfortable in racks: cooling, network, storage, PDU, cable management; can lift/mount safely (within HSE limits).
• Clear communicator: short factual updates; reliable teammate; punctual and process-minded.
• Hardware-passionate, professionally grounded: strong curiosity and craft mindset.

Nice to have

• HPC/AI/Cloud at scale experience (production environments), large-fleet/server install & maintenance in datacenters.
• Basic networking (Ethernet/InfiniBand) and basic Linux (boot/check; no coding needed).
• Coding/automation skills (Python/Bash): small tools/scripts to improve checklists, photo/serial capture, inventory sync, or simple monitoring/reporting.
• Experience with inventory/RMA tools and vendor coordination.
• Exposure to HPC/research/industrial environments.

What we offer

• Competitive salary and equity package
• Health insurance
• Transportation allowance
• Sport allowance
• Meal vouchers
• Private pension plan
• Generous parental leave policy

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Compensation

• $86.4K – $228K

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.

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.

About the Team

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders such as Oracle today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced hardware professionals who can help ensure our high-density compute environment operates at peak performance.

About the Role

We are seeking a senior datacenter hardware operations technician to coordinate physical hardware activities at a large partner-operated campus. In this role you will work side-by-side with Oracle and their delivery teams, helping align OpenAI’s compute requirements with day-to-day hardware work on the ground. Rather than directing partner personnel, you will focus on collaboration, technical alignment, and shared problem solving, ensuring that maintenance, repairs, and lifecycle activities support the performance and reliability goals of both organizations. As the campus matures, you will help capture lessons learned and develop standards and playbooks to guide hardware operations at future OpenAI infrastructure projects.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

Responsibilities

• Serve as OpenAI’s primary on-site hardware contact, collaborating with Oracle teams and vendors to plan and coordinate maintenance, repairs, and lifecycle activities.

• Share technical requirements and verify that work performed supports OpenAI’s compute needs and agreed quality targets.

• Coordinate schedules, spare-parts planning, and issue escalation with partner teams to minimize downtime and keep operations running smoothly.

• Work with OpenAI fleet-health engineers to translate software-detected issues into on-site hardware actions in partnership with Oracle.

• Track hardware trends and provide joint recommendations with partner teams for design or operational improvements.

• Prepare documentation and runbooks that capture joint best practices and can be applied at additional campuses.

• Offer technical guidance and context to partner personnel while respecting their operational ownership.

• Collaborate with supply-chain teams to plan spares and manage hardware lifecycle activities.

Requirements

• Have 7+ years of experience in datacenter hardware operations, hardware engineering, or large-scale server maintenance, with at least 2 years in a senior or lead technician capacity.

• Bring deep knowledge of high-density server hardware, including x86 platforms, GPUs, storage devices, and power/cooling systems.

• Excel at diagnosing hardware issues, coordinating complex repairs, and maintaining strong working relationships across organizations.

• Are comfortable setting technical expectations and validating outcomes through collaboration, not direct management.

• Adapt quickly to changing operational conditions and enjoy solving problems at both the strategic and on-site levels.

• Communicate clearly and build trust across partner teams, vendors, and internal engineering stakeholders.

• Are willing to be based full-time at a partner-operated campus

Preferred Skills

• Familiarity with large-scale cluster management or monitoring tools (IPMI, BMC, Prometheus, Nagios) to interpret alerts and coordinate partner responses.

• Experience with GPU-accelerated compute clusters or other high-performance computing hardware.

• Knowledge of Linux/Unix system administration and command-line diagnostic tools for hardware validation.

• Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent.

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