Senior Software Engineer

Dell Global BV Singapore Branch (7032); Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading global technology firm is seeking a Senior Software Engineer in Singapore. This role focuses on building and optimizing advanced AI/ML software solutions for embedded systems and client devices. Candidates should have a strong background in Python, RUST, and C++, with hands-on experience in container orchestration using Docker and Kubernetes. The position offers the opportunity to innovate within a world-class engineering environment, contributing to advancements in intelligent computing and client technology.

Qualifications

• 5+ years experience with Bachelor's, or 3+ years with Master's in relevant field.
• Proficient in Python, RUST, and C++.
• Experience in automation using shell scripting.
• Background in backend service development and API design.

Responsibilities

• Design and implement backend services and APIs for AI benchmarking.
• Develop AI/ML software tailored for client silicon.
• Manage containerized applications using Docker and Kubernetes.
• Automate system-level tasks to streamline workflows.

Skills

Python

RUST

C++

Shell scripting

Kubernetes (K8s)

Docker

Backend service development

API design

Embedded systems

AI software development tools

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD in relevant field

Tools

Kubernetes (K8s)

Docker

Microsoft Windows OS

Intel OpenVino

Qualcomm QNN

NVIDIA CUDA

AMD Ryzen AI Software

Job description

In the rapidly evolving Artificial Intelligence era, few domains are advancing faster than the AI-enabled PC. As a leading provider of world‑class technology, Dell Technologies is driving intelligence deeper into the PC ecosystem—delivering superior performance, enhanced productivity, and delightful user experiences while upholding privacy and security.

We are pioneering innovative approaches to embed intelligence across our client PC portfolio, leveraging cutting‑edge methodologies, models, and tools to build a robust end‑user ecosystem. Collaborating with leading AI technology companies, academics, industry experts, and skilled engineers, we are redefining the future of intelligent computing.

Join us to do the best work of your career and make a profound social impact as a Senior Software Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) AI Centre of Excellence (AI COE).

What you’ll achieve

As a Senior Software Engineer, you will be responsible for developing sophisticated systems and software basis the customer’s business goals, needs and general business environment creating software solutions.

You will

• Design and implement backend services and APIs to support the Model Evaluation Platform (MEP) for AI model benchmarking.
• Develop and deploy AI/ML software solutions tailored for client silicon, integrating telemetry and performance metrics.
• Build and manage containerized applications using Docker and orchestrate deployments with Kubernetes (K8s).
• Automate system‑level tasks using shell scripting to streamline development, deployment, and telemetry workflows.
• Apply strong system design and architecture principles to build scalable, low‑latency server‑side systems.
• Collaborate with data scientists and ML engineers to optimize model lifecycle, telemetry integration, and AI/ML models execution.
• Conduct experiments to train and optimize Machine Learning / Deep Learning models for delivery onto client devices

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor’s degree + 5 years, Master’s + 3 years, or PhD in Computer Science, Engineering, AI/ML, or related fields.
• Strong proficiency in Python, RUST and C++ for backend, apps and performance‑critical components.
• Experience with shell scripting for automation and system orchestration.
• Proven expertise in backend service development and API design.
• Hands‑on experience with Kubernetes (K8s) and Docker for container orchestration and deployment.
• Solid understanding of Software Development Life Cycle (SDLC) and agile methodologies.
• Experience developing for Microsoft Windows OS, including SDKs and embedded device development in RTOS environments.
• Strong knowledge of embedded systems and their application in client ecosystems.
• Experience with AI software development tools, such as model quantization frameworks, inference optimization libraries, or agentic AI platforms.
• Familiarity with development in real‑time embedded environments and major hardware vendor toolchains (e.g., Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, AMD Ryzen AI Software).
• Prior work on model evaluation frameworks or benchmarking systems for edge AI.