Senior Software Engineer, AI Infrastructure

Location: On-site in Seattle, Washington, United States. On-site requirements vary by position and team.

Salary: $126,000–$189,000 base salary per year, plus bonus plans.

Company

hirify.global is a Seattle-based non-profit AI research institute building open, large-scale AI models, data, robotics, and conservation technologies for public benefit.

What you will do

• Design and scale orchestration systems that intelligently schedule high-value workloads across large GPU clusters.
• Build software-defined infrastructure, automation tooling, and cluster health management systems.
• Optimize distributed workloads and conduct root-cause analysis of complex system failures.
• Own systems across the Beaker job scheduler and execution runtime.
• Provide technical input on compute, networking, storage, and large-scale HPC infrastructure deployments.
• Review code and design documents, mentor engineers, and collaborate with research staff.

Requirements

• 8+ years of experience developing business-critical software and operating large-scale compute infrastructure.
• Proficiency in Go and/or Python.
• Expert-level knowledge of Linux internals and container runtimes such as Docker.
• Experience designing, debugging, and optimizing high-scale distributed systems and databases.
• Bachelor’s degree in a related field, or an advanced degree substituting for equivalent technical experience.
• Authorization to work in the United States is required.

Nice to have

• Experience with workload schedulers such as Kubernetes or Slurm.
• Experience with NCCL, InfiniBand, HPC system administration, or SRE.
• Experience training or fine-tuning frontier AI models.
• Open-source infrastructure or orchestration contributions.
• Familiarity with WEKA or Ceph storage systems.

Culture & Benefits

• Open science environment focused on transparent, open-source AI infrastructure and scientific impact.
• Medical, dental, vision, employee assistance, HSA, HRA, and flexible spending account plans.
• 401(k) plan, annual bonuses, and long-term incentive plan.
• Paid sick leave, personal days, vacation, holidays, and family leave.
• Monthly commuting or internet support and fitness and wellbeing expenses.
• Learning opportunities through ongoing education and Ai2 Academy lectures.