Job OverviewPenguin Solutions is seeking a Director, Integrations Engineering to lead a distributed engineering team responsible for validating technology integrations, operationalizing reference architectures, and delivering repeatable, production-ready AI Factory solutions.
This role sits at the intersection of Product Engineering and the field, combining technical leadership, customer engagement, and cross-functional execution to translate complex requirements into validated, scalable solutions.
Responsibilities- 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.
- Transform 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 high-performing, globally distributed engineering team, establishing clear priorities, ownership, capacity planning, and execution processes.
- Provide executive-level visibility into delivery commitments, risks, dependencies, and outcomes.
- Drive continuous improvement through automation, AI-assisted engineering, and strong technical documentation practices.
Qualifications- Bachelor's or Master's degree in Computer Science, Engineering, or 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.
- Demonstrated experience leading customer-facing technical engagements and complex systems integration and validation.
- Strong ability to turn customer requirements into scalable, repeatable, and supportable solutions.
- Proven success leading distributed teams and influencing Product, Engineering, Services, and customer-facing organizations.
- Strong executive communication, prioritization, and organizational leadership skills.
Preferred Qualifications- 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
LocationHybrid - Durham, North Carolina. The schedule is 3 days per week onsite.
Travel20-25% domestic and international travel expected
Compensation & BenefitsThe base pay range that the Company reasonably expects to pay for this position in North Carolina is $215,000 - $230,000; the pay ultimately offered may vary based on business considerations, including job-related knowledge, skills, experience, and education. The position is bonus-eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.
Inclusion & Belonging StatementWe are committed to creating an inclusive environment that embraces differences and fosters belonging for all.
