Job Description
**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).
**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. Read the full Equal Employment Opportunity Policy here (https://jobs.dell.com/equal-employment-opportunity-policy-statement) .
**Job ID:** R282257
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. Read the full Equal Employment Opportunity Policy here (https://jobs.dell.com/equal-employment-opportunity-policy-statement) .
**Job ID:** R282257
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