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Job description
At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide.
Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale.
Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision.
At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact.
Job Overview
We are seeking an experienced Engineering Manager to lead a distributed software engineering team responsible for building core capabilities of the ClusterWareAI platform.
This role is ideal for a technically strong engineering leader who enjoys developing high-performing teams while remaining actively engaged in architecture, execution, and technical decision-making. You will partner closely with Product Management, Principal Engineers, Architects, and cross-functional engineering teams to deliver scalable, cloud-native platform capabilities that power modern AI factories.
As an Engineering Manager, you will drive engineering excellence, execution, and team development while helping shape the future of ClusterWareAI. Success in this role requires balancing people leadership with technical judgment, fostering a culture of innovation and accountability, and enabling your team to deliver high-quality software that solves complex infrastructure challenges.
Responsibilities
Drive roadmap execution from design through delivery, ensuring quality, predictability, and technical excellence
Oversee engineering planning, prioritization, and delivery across multiple initiatives, ensuring high quality and predictable execution.
Champion best practices in software architecture, CI/CD, testing, security, and operational excellence.
Communicate progress, risks, and delivery outcomes to senior leadership while driving the ongoing evolution of the ClusterWareAI platform.
Partner with Product Management, Principal Engineers, Architects, and cross-functional teams to translate business priorities into scalable technical solutions.
Lead, mentor, and develop a high-performing software engineering team
Foster a culture of ownership, collaboration, customer impact, and continuous improvement.
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related technical field.
10+ years of software engineering experience building enterprise software, distributed systems, or infrastructure platforms.
3+ years of experience leading and developing software engineering teams.
Strong understanding of distributed systems, Kubernetes, containers, Linux, REST APIs, and microservices.
Strong knowledge of modern software engineering practices, Agile development, CI/CD, testing, and DevOps.
Demonstrated ability to mentor engineers, develop technical talent, and build high-performing teams.
Excellent communication, collaboration, and stakeholder management skills.
Preferred Qualifications
Experience with one or more of the following:
Platform engineering or infrastructure software
Experience developing software on AWS, Microsoft Azure, or Google Cloud.
Kubernetes platform engineering
Infrastructure automation and orchestration
Distributed systems and scalable platform architectures
Infrastructure observability and monitoring
AI infrastructure, AI Factory platforms, or AI/ML infrastructure
GPU infrastructure or resource scheduling
Hybrid cloud platforms
High Performance Computing (HPC)
Enterprise SaaS platforms
Location
Hybrid in Raleigh/Durham, NC
Travel
Less than 10%
Compensation & Benefits
The base pay range that the Company reasonably expects to pay for this position in Maynard, MA or Durham, NC is $165,000 – 195,000; 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 Statement
We are committed to creating an inclusive environment that embraces differences and fosters belonging for all.
Equal Opportunity Statement
We are an Aff
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Worksite address
durham, NC, 27703, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.