Senior Engineering Manager, AI Infrastructure Seattle, WA
Listed on 2026-07-14
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Software Development
Unix/Linux
Seattle, WA
Persons in these roles are expected to work from our offices in Seattle. On‑site requirements vary based on position and team.
Our base salary range is $146,880 – $220,320, and in addition we have generous bonus plans to provide a competitive compensation package.
Who You AreWe are seeking a Senior Manager, AI Infrastructure to run the day‑to‑day operation of the systems that power our research. Reporting to the VP of Engineering, you will own the execution and reliability of our high‑performance computing (HPC) environment which includes on‑prem GPU clusters and the software orchestration layer that schedules workloads across a hybrid cloud environment. This is a hands‑on operational leadership role: your mandate is to keep the platform fast, reliable, and well‑utilized, and to deliver against the roadmap set with your PM counterpart.
- Systems Expert: You have a deep, hands‑on understanding of the Linux kernel, container runtimes, and distributed systems. You understand the performance implications of Infini Band topologies and NCCL optimizations.
- Execution‑Focused Leader: You plan and deliver against near‑term operational goals, keep reliability and researcher velocity high, and turn priorities set with leadership into shipped, dependable systems.
- Pragmatic Operator: You are comfortable making trade‑offs between technical elegance and operational necessity. You triage and mitigate immediate risks, and know when to handle something yourself versus elevate.
- Experience: 12+ years in infrastructure, systems engineering, or HPC (or an advanced degree with 8+ years), including 2+ years supervising a small engineering team (5+).
- Bachelor's degree in a related field
: a relevant advanced degree may substitute for equivalent years of technical work experience. - GPU/HPC Stack: Direct experience operating large‑scale NVIDIA GPU clusters and high‑performance networking (Infini Band/RoCE).
- Orchestration: Strong background in Kubernetes, Slurm, or similar orchestration frameworks, particularly in hybrid‑cloud configurations.
- Storage: Hands‑on experience with distributed file systems (e.g., WEKA, Ceph, Lustre) and cloud storage integration at scale.
- Software Development: Proficient in designing and managing SDLC processes including sprint planning and technical design reviews. Proficient in Go or Python.
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.
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We are committed to providing reasonable…
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