Director, Integration Engineering (AI/HPC)

Location: Hybrid in Durham, North Carolina; onsite 3 days per week. Requires 20–25% domestic and international travel.

Base pay: $215,000–$230,000 per year in North Carolina; bonus-eligible.

Company

hirify.global builds, deploys, and manages AI Factory platforms and high-performance enterprise solutions spanning AI/HPC infrastructure, memory, compute, software, and services.

What you will do

• Lead customer technical discovery, solution qualification, proofs of concept, integration planning, and deployment readiness for complex AI Factory environments.
• Drive end-to-end integration and interoperability validation across ClusterWareAI, GPU/HPC infrastructure, Kubernetes, networking, storage, and infrastructure management.
• Partner with Product, Software, Hardware, Services, Sales Engineering, and technology partners to validate reference architectures and resolve integration gaps.
• Convert customer-specific solutions and prototypes into repeatable architectures, automation, validation frameworks, runbooks, and implementation guidance.
• Translate customer and field insights into prioritized product and engineering improvements.
• Build and lead a distributed engineering team, providing priorities, capacity planning, execution processes, and executive visibility into commitments, risks, dependencies, and outcomes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 15+ years of experience in software, systems, infrastructure, platform, or integration engineering, including 5+ years in engineering leadership.
• Experience with AI/HPC infrastructure, GPU clusters, distributed systems, or data center infrastructure.
• Experience leading customer-facing technical engagements and complex systems integration and validation.
• Ability to turn customer requirements into scalable, repeatable, and supportable solutions.
• Success leading distributed teams and influencing Product, Engineering, Services, and customer-facing organizations.
• Strong executive communication, prioritization, and organizational leadership skills.

Nice to have

• Experience with NVIDIA technologies, accelerated computing, and AI Factory architectures.
• Knowledge of Kubernetes, infrastructure automation, networking, storage, and cloud-native technologies.
• Experience with CI/CD, automated testing, infrastructure as code, and performance benchmarking.
• Experience applying AI and automation tools to engineering workflows.
• Experience supporting strategic partnerships and new product introductions.

Culture & Benefits

• Collaborative environment focused on ownership, innovation, servant leadership, continuous learning, and outcome-oriented work.
• Medical, dental, and vision benefits, 401(k) savings plan, paid time off, life insurance, and an Employee Assistance Plan.
• Inclusive workplace committed to belonging and equal employment opportunity.
• Hybrid schedule with regular onsite work and 20–25% domestic and international travel.