Senior Software Engineer II (AI)

TL;DR

Senior Software Engineer II (AI): Building and scaling Kubernetes-native research cluster platforms and sandbox infrastructure for agentic training with an accent on distributed systems, workload orchestration, and ML infrastructure. Focus on designing high-performance tools that enable researchers to train models at scale without managing underlying infrastructure.

Location: Must be based in or able to work from Sunnyvale, CA or Bellevue, WA

Salary: $182,000 - $242,000

Company

hirify.global is a specialized cloud provider delivering high-performance infrastructure for AI, trusted by leading labs and enterprises to accelerate breakthroughs in machine learning.

What you will do

• Design and build a complete research cluster experience including CLI, job configuration schemas, and Kubernetes operators.
• Own the Python SDK for sandbox infrastructure to enable large-scale RL training and agent rollouts.
• Collaborate directly with customers at large AI labs to understand their supercomputing stacks and translate needs into system designs.
• Develop and maintain Kubernetes-native primitives for compute, storage, and networking.
• Write technical documentation to help customers run popular OSS training frameworks on the platform.

Requirements

• 8–12+ years of experience in distributed systems, ML infrastructure, or developer platforms.
• Deep Kubernetes expertise including custom controllers, operators, scheduling, and CRDs at scale.
• U.S. work authorization required due to export control compliance (U.S. citizen, permanent resident, or eligible for export authorization).
• Proven track record of shipping production-grade infrastructure systems.
• Strong communication skills for direct customer interaction and system design translation.
• Understanding of distributed training workflows and researcher productivity bottlenecks.

Nice to have

• Experience building internal ML platforms at large-scale training companies.
• Familiarity with agentic AI, RL training, and sandbox isolation techniques.
• Background with Slurm, Ray, or similar workload orchestration tools.
• Experience with container runtimes like gVisor or Kata.
• OSS contributions to Kubernetes SIGs, Ray, or PyTorch.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance (100% paid).
• 401(k) with generous employer match.
• Flexible PTO and casual work environment.
• Support for family-forming and mental wellness.
• Catered lunches in office and data center locations.
• Opportunities for equity awards and employee stock purchase programs.