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Ai2

Lead Software Engineer, AI Infrastructure

Seattle, WA · On-site

$196.90K - $233.30K/yr

Ai2 is a non-profit research institute dedicated to building AI for the common good. The Lead ... Expert-level knowledge of Linux internals, and container runtimes like Docker. • Distributed ...

Riverside Research

Systems Engineer

Dayton, OH

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to ... Minimum 4 years' experience with Linux operating systems and system administration * Experience ...

Fundraise Up

DevOps Engineer / SRE

$54 - $74/hr

Our platform is trusted by many of the world's leading nonprofits, including UNICEF, the Alzheimer ... Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from ...

Riverside Research

Systems Administrator

Boston, MA · On-site

$72.80K - $120K/yr

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to ... Provide Tier 2 and Tier 3 support to Windows and Linux based operating systems across Riverside ...

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As of Jun 2, 2026, the average hourly pay for nonprofit linux in the United States is $55.32, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $59.38 per hour, depending on experience, location, and employer.
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Infographic showing various Nonprofit Linux job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $115,062 per year, or $55.3 per hour.
Lead Software Engineer, AI Infrastructure

Lead Software Engineer, AI Infrastructure

Ai2

Seattle, WA • On-site

$196.90K - $233.30K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Ai2 is a non-profit research institute dedicated to building AI for the common good. The Lead Software Engineer will be responsible for developing the infrastructure that supports high-performance computing for AI research, ensuring efficient scheduling and execution of workloads.
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.
Qualifications:
Required:
• 10+ years of professional experience developing business-critical 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.
• 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.
Preferred:
• Proficiency in Go and/or Python preferred.
• 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.
Company:
We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen. Founded in 2014, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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