Software Principal Engineer (AI Empowered)

Dell; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking a Software Principal Engineer (AI Empowered) in Singapore. This role requires a hands-on leader to architect and operationalize AI platforms, enhance engineering with AI tools, and develop core infrastructure for AI workloads. The ideal candidate has a Master's in Computer Science, over 5 years in software engineering, and experience with containerization technologies. Join us to make a profound social impact and advance your career with innovative solutions.

Benefits

Work environment free of discrimination and harassment

Opportunity for career growth

Qualifications

• 5+ years in software engineering or platform development.
• Experience managing ML or high-performance computing infrastructure.
• Familiarity with LLM ecosystems.

Responsibilities

• Architect AI platforms and enhance engineering through AI.
• Design and develop core AI platform components.
• Drive adoption of AI-assisted development tools.

Skills

Programming skills in Python

Containerization skills (Docker, Kubernetes)

AI-assisted development tools knowledge

Strong problem-solving

Education

Master's degree in Computer Science

Tools

OpenShift

VxRail

GitHub Copilot

Job description

Overview

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).

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Job ID: R282259