Software Principal Engineer (AI Empowered)

The Software Engineering team delivers next‑generation application enhancements and innovative products for a rapidly evolving world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications, and diagnostics — leveraging advanced technologies, modern engineering methodologies, and close collaboration with internal and external partners.

Join us to do the best work of your career and make a profound social impact as a Software Principal Engineer (AI Empowered) on our Software Engineering team in Singapore.

What You’ll Achieve

As a Software Principal Engineer (AI Empowered), you will be a key hands‑on leader who architects, builds, and operationalizes AI platforms and accelerates engineering through AI‑assisted development. You’ll develop core infrastructure for AI workloads (LLMs, agentic systems, data/ML pipelines) and embed AI tools across the engineering lifecycle to uplift speed, quality, and innovation across Dell’s solution platforms.

You will:

AI Platform Engineering

• Design, develop, and operate core AI platform components: MLOps pipelines, data handling, model serving, and observability.
• Implement and manage LLM tooling and prompt engineering frameworks; define reusable patterns for agents and retrieval workflows (e.g., vector databases).
• Deploy and maintain scalable compute environments on Kubernetes/OpenShift, VxRail, ensuring high availability, performance, and cost efficiency for AI workloads.
• Troubleshoot complex issues across the stack — from infrastructure and networking to runtime and application layers; contribute to technical documentation and platform best practices.
• Optimize GPU scheduling, resource management, and model runtime performance in containerized environments.

AI‑Assisted Application Engineering

• Drive adoption of AI‑assisted development tools (e.g., code generation, intelligent testing, automated documentation) and integrate LLM‑based services into engineering workflows.
• Build and maintain automation frameworks and CI/CD pipelines that leverage AI for code quality, security scanning, and performance optimization.
• Collaborate with platform engineers and product teams to embed AI capabilities into solution platforms (e.g., OpenShift, VxRail, VMware ecosystem).
• Develop reference implementations, guardrails, and best practices for AI‑assisted engineering across multiple product teams.
• Mentor engineers in effective use of AI tools to improve productivity while maintaining high‑quality standards; evaluate emerging AI technologies and recommend adoption strategies.

Essential Requirements

• Master’s degree in Computer Science or related field, with 5+ years in software engineering or platform development.
• Strong programming skills in Python, Go, or Java; solid CS fundamentals and hands‑on experience with containerization and orchestration (Docker, Kubernetes, OpenShift).
• Experience building/managing ML or high‑performance computing infrastructure; familiarity with LLM ecosystems (e.g., LangChain, vector databases).
• Proficiency with CI/CD, DevOps practices, and enterprise software delivery.
• Experience with AI‑assisted development tools (e.g., GitHub Copilot, CodeWhisperer) or integrating LLM services into engineering workflows.

Desirable Requirements

• Experience with VMware technologies (vSphere, Tanzu) and Dell platforms (VxRail, PowerStore) and knowledge of GPU resource management in containerized environments.
• Familiarity with hyper-converged infrastructure (HCI), enterprise storage, and network virtualization (e.g., VMware NSX) and hands-on experience with infrastructure automation tools (Ansible, Terraform, Helm).