Principal System Integration Engineer

At Penguin Solutions (Nasdaq: PENG) The AI Factory Platform Company were 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

The Integration Engineering team develops and validates the software solutions that power next-generation AI infrastructure. We work at the intersection of infrastructure automation AI platforms and enterprise software to help customers deploy operate and scale AI environments with confidence.

As a Principal Systems Integration Engineer youll work across Penguins AI Factory Platform and a broad ecosystem of technologies including Linux Kubernetes HPC networking storage GPUs AI frameworks and cloud-native infrastructure to build validate and operationalize integrated solutions.

The team works collaboratively with Product Management Software and Hardware Engineering Solution Architects and technology partners to evaluate new technologies develop automation solve complex integration challenges and transform innovative ideas into production-ready capabilities.

Whether youre an experienced engineer or an early-career technologist with a strong systems background and a passion for learning this role offers an opportunity to work on some of the most advanced AI infrastructure environments in the industry.

Responsibilities

• Develop integrate and validate software solutions that enable enterprise AI infrastructure.
• Evaluate interoperability across Penguin software and partner technologies.
• Design and execute proof-of-concepts and technical evaluations.
• Help define best practices for deploying and operating AI infrastructure at scale.

• Build automation using tools such as Ansible Python GitLab CI/CD Helm and Kubernetes.
• Improve deployment validation and operational workflows.
• Create reusable tooling that increases reliability and repeatability.

• Troubleshoot issues that span software infrastructure networking storage Kubernetes and AI platforms.
• Work alongside engineering teams to identify root causes and drive technical solutions.
• Contribute to the continuous improvement of Penguins AI Factory Platform.

• Explore emerging technologies across the AI infrastructure ecosystem.
• Evaluate new open-source and commercial technologies.
• Contribute ideas that influence future products and solution architectures.
• Continuously expand your technical expertise across infrastructure and AI technologies.

Qualifications

• Bachelors degree in Computer Science Engineering or equivalent practical experience.
• 8 years of experience managing and scaling Linux-based production environments.
• Deep expertise with Kubernetes architecture deployment and operations.
• Strong experience with infrastructure automation and Infrastructure as Code (Ansible preferred).
• Advanced scripting skills in Python Bash or similar languages.
• Expertise with Git CI/CD pipelines and modern cloud-native development practices.
• Proven use of AI-assisted development tools (e.g. Cursor GitHub Copilot Claude Code ChatGPT) to drive productivity and engineering efficiency.
• Strong problem-solving and troubleshooting skills in complex distributed environments.
• Excellent communication collaboration and technical leadership skills.
• Experience leading cross-functional initiatives mentoring engineers and influencing technical strategy.

Preferred Qualifications

• Experience with one or more of the following:
  • DevOps or Platform Engineering
  • AI or machine learning infrastructure
  • GPU computing
  • Slurm or HPC environments
  • Enterprise storage
  • Networking
  • Containers and cloud-native technologies
  • Observability platforms
  • CI/CD pipelines

Location

Hybrid Bangalore India