Lead Software Engineer, AI Infrastructure

The Allen Institute for Artificial Intelligence • Seattle, WA

7h • Onsite

About The Position

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
Our base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package.
You are a visionary leader who occupies the space between high-level software orchestration and low-level system performance. You are motivated by the idea that world-class infrastructure should be a catalyst for public good, not a proprietary secret. You understand that in the world of frontier AI, the "software" and the "hardware" are a single, inseparable organism. You are as comfortable designing a distributed scheduling algorithm in Go as you are debugging a NCCL timeout or optimizing an InfiniBand fabric.
You lead by example, blending the rigor of a Lead Software Engineer with the pragmatic, hands-on urgency of an HPC operator. Not only do you build systems, but you also ensure they thrive under the immense pressure of training world-class AI models.
While much of the AI industry has moved behind closed APIs, proprietary datasets, and "black box" infrastructure, Ai2 remains a lighthouse for Open Science. Founded by the late Paul Allen, we are a non-profit research institute dedicated to building AI for the common good.
We don't have a stock price to defend or a walled garden to protect. Instead, we have a mission: to provide the global research community with the transparent, high-performance foundations they need to achieve humanity-enriching breakthroughs.
What makes us different:
Radical Transparency: We don't just release model weights; we release the data, the training code, and the infrastructure insights. We believe the "how" is just as important as the "what."
Mission over Margin: Our "bottom line" is scientific impact. This gives us the unique freedom to prioritize technical elegance, long-term stability, and open-source contributions over quarterly profit targets.
The Best of Both Worlds: We operate at the pace and scale of a world-class tech startup but with the intellectual soul of a research lab.
The Beaker Ecosystem: We build and operate systems like Beaker to coordinate the simultaneous training of frontier models (like OLMo) across massive GPU clusters. Our job is to ensure that the next great AI breakthrough isn't stalled by a resource bottleneck or a proprietary gatekeeper.
At Ai2, we believe that the most important AI breakthroughs should be transparent and accessible. Your challenge is to build the infrastructure that makes this possible. You will bridge the gap between our researchers, our orchestration platform (Beaker) and our GPU clusters.
You will be a technical lead responsible for ensuring that when a researcher submits a job, the software schedules it intelligently and the hardware executes it flawlessly. This involves:

Requirements

• 10+ years of professional experience developing business-critical software and operating large-scale compute infrastructure. Proficiency in Go and/or Python preferred.
• Bachelor’s degree in related field; relevant advanced degree may substitute for equivalent years of technical work experience
• Deep Linux Expertise: Expert-level knowledge of Linux internals, and container runtimes like Docker.
• Distributed Systems Mastery: A proven track record of designing, debugging, and optimizing high-scale distributed systems and databases.
• HPC Foundations: Applied experience with workload schedulers (like Kubernetes or Slurm) and high-performance networking (NCCL and InfiniBand).
• Cloud & Hardware Hybridity: Familiarity with the nuances of on-prem GPU cluster management and cloud infrastructure (GCP, AWS).
• Communication: Exceptional writing skills and the ability to drive consensus across diverse groups of researchers and engineers.
• A principled approach to engineering: you care about how systems are built and are excited by the unique constraints and freedoms of a non-profit research environment.

Nice To Haves

• Prior experience training or fine-tuning frontier AI models.
• Deep systems administration expertise or "Site Reliability Engineering" (SRE) background in an HPC context.
• Experience contributing to open-source infrastructure or orchestration projects.
• Familiarity with on-prem storage systems like WEKA and Ceph.

Responsibilities

• Strategic Leadership: Develop the roadmap for managing large-scale HPC systems, including the deployment of compute, networking, and storage in partnership with leadership.
• Full-Stack Ownership: Lead the design and delivery of critical systems that span the entire stack—from the Beaker job scheduler to the execution runtime.
• System Automation: Build innovative tooling and software-defined infrastructure to accelerate researcher velocity and automate cluster health management.
• Performance Optimization: Conduct root-cause analysis on complex distributed system failures and implement optimizations for distributed workloads.
• Mentorship & Culture: Foster a high-performance culture by reviewing code/design docs, mentoring team members, and driving process improvements across the organization.
• Evangelism: Represent Ai2’s infrastructure work across internal research teams.

Benefits

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level