Software Senior Principal Engineer

Software Senior Principal Engineer

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 Senior Principal Engineer (AI Empowered) on our Software Engineering team in Singapore.

What You’ll Achieve

As a Software Senior 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 10+ years of experience 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).