Senior Software Engineer, Systems (AI)

TL;DR

Senior Software Engineer (AI/Systems): Building and maintaining large-scale AI cluster infrastructure with an accent on compute uptime, resilience, and automation. Focus on solving difficult technical problems in distributed systems, reliability, and scaling frontier AI research.

Location: Hybrid (US - San Francisco, New York City, Seattle). Must be in one of our offices at least 25% of the time. Visa sponsorship available.

Salary: $300,000 - $405,000 USD

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems.

What you will do

• Lead infrastructure projects from design through delivery, owning scope, execution, and outcomes.
• Build and maintain systems that support AI clusters at massive scale (thousands to hundreds of thousands of machines).
• Partner with cloud providers and internal teams to solve compute, networking, and reliability challenges.
• Tackle difficult technical problems in your domain and proactively fill gaps in tooling, documentation, and processes.
• Contribute to operational practices including incident response, postmortems, and on-call rotations.

Requirements

• 6+ years of software engineering experience and a proven track record of leading technical projects end-to-end.
• Deep knowledge of distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP).
• Proficiency in at least one systems language (Python, Rust, Go, Java).
• Strong problem-solving skills, with the ability to work independently and collaborate effectively.
• Clear communication skills for design docs, presentations, and cross-functional discussions.
• Bachelor's degree in a related field or equivalent experience required.

Nice to have

• Expertise in security and privacy best practices.
• Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, and supporting networking infrastructure (e.g., NCCL).
• Low-level systems experience, such as Linux kernel tuning and eBPF.

Culture & Benefits

• Competitive compensation and benefits, with optional equity donation matching.
• Generous vacation and parental leave, along with flexible working hours.
• Collaborative team environment focused on high-impact AI research.
• Emphasis on an empirical science approach to AI and strong communication skills.
• Hybrid work policy, requiring office attendance at least 25% of the time.
• Visa sponsorship is provided, with reasonable efforts made to secure visas.