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).
