Senior Software Engineer, AI Infrastructure

Allen Institute for Artificial Intelligence; Seattle (WA); On-site; USD 126,000 - 189,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k plan

Paid vacation and sick leave

Monthly fitness stipend

Monthly commuting or internet assistance

Job summary

The Allen Institute for Artificial Intelligence in Seattle is seeking a Senior Software Engineer to build infrastructure that supports AI breakthroughs. Candidates should have over 8 years of experience in developing software and managing large-scale compute systems. The role involves collaboration with researchers and optimization for high-performance systems.

We offer a competitive compensation package including a base salary range of $126,000 - $189,000, generous bonus plans, and benefits supporting work-life balance.

Qualifications

• 8+ years of professional experience developing software and operating large-scale compute infrastructure.
• Bachelor’s degree in related field; relevant advanced degree may substitute for equivalent years of technical work experience.
• Expert-level knowledge of Linux internals and container runtimes.

Responsibilities

• Design and scale orchestration layer for workload scheduling.
• Build innovative tooling and automation for cluster health management.
• Conduct root-cause analysis on distributed system failures.

Skills

Proficiency in Go

Linux Expertise

Distributed Systems Expertise

Exceptional Communication

Education

Bachelor’s degree in related field

Tools

Docker

Kubernetes

Job description

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 $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package.

Who You Are:

You are an expert systems engineer 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 are as comfortable designing a resource allocation algorithm in Go as you are debugging a NCCL timeout.

You lead by example, blending the rigor of a Senior 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 pressure of training world-class AI models.

Who We Are:

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.

Your Next Challenge:

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 and our GPU clusters.

You will be a senior technical contributor responsible for ensuring that when a researcher submits a job, the software schedules it intelligently and the hardware executes it flawlessly. This involves:

• Designing for Scale: Designing and scaling our orchestration layer to ensure that the highest value workloads receive GPU time.
• Operational Excellence: Moving our HPC operations from manual intervention to high‑level automation.
• Performance Engineering: Working directly with researchers to squeeze every bit of performance out of our GPU‑accelerated computing environment.

Your Responsibilities:

• Full‑Stack Ownership: Independently design and deliver 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.
• Technical Input & Ownership: Provide valuable input into the roadmap for managing large‑scale HPC systems, including the deployment of compute, networking, and storage in partnership with leadership.
• Mentorship & Culture: Foster a high‑performance culture by reviewing code/design docs, mentoring team members, and driving process improvements within the team.
• Collaboration: Effectively communicate and collaborate with internal research staff to share system designs, gather feedback, and support engineers on implementation tasks.

What You’ll Need:

• 8+ 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.
• Linux Expertise: Expert‑level knowledge of Linux internals, and container runtimes like Docker.
• Distributed Systems Expertise: A proven track record of designing, debugging, and optimizing high‑scale distributed systems and databases.
• 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.

Bonus Qualifications:

• Applied experience with workload schedulers (like Kubernetes or Slurm) and high‑performance networking (NCCL and InfiniBand).
• 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.

Physical Demands and Work Environment:

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.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non‑profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real‑world impact through large‑scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground‑breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world‑class AI experts as guest speakers, and our commitment to your personal on‑going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non‑binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.

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 compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at [e-mail].

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.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job‑related instructions and to perform any other job‑related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.