Senior AI Software Engineer - Edge & On-Device Inference

Dell; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Dell Technologies Singapore's AI Innovation Lab seeks a Senior Software Engineer to design and implement backend services and APIs for scalable AI model evaluation platforms across client silicon and inference frameworks.

You will build agentic AI workflows, containerized apps with Docker and Kubernetes, optimize model lifecycle and telemetry, and collaborate with AI engineers to push edge and on-device AI capabilities.

Qualifications

• 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 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.”
• “Good understanding of 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.”

Responsibilities

• Design and implement backend services and APIs for scalable AI model and system evaluation platforms.
• Build persona-driven dashboards and evaluation pipelines to assess model performance, latency, and quality.
• Develop and deploy AI/ML software solutions tailored for client silicon, integrating telemetry and performance metrics.
• Develop and deploy AI/ML software solutions tailored for client silicon, optimizing inference for on-device and edge deployment scenarios.
• Evaluate and integrate inference frameworks, optimize model serving, and explore multi-tier compute architectures across CPU, GPU, NPU to high-end AI silicon.
• Build agentic workflows, tools, and agent skills that enable AI-powered automation for internal and external use cases.
• 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 AI engineers and data scientists to optimize model lifecycle, telemetry integration, and AI/ML model execution on client devices.

Skills

Python

Rust

C++

Shell scripting

Backend service development

API design

Kubernetes

Docker

SDLC

Agile methodologies

Windows OS

Embedded systems

Education

Bachelor’s degree +5 years, Master’s +3 years, or PhD in CS/Engineering/AI/ML

Tools

Kubernetes

Docker

Job description

Dell Technologies Singapore's AI Innovation Lab seeks a Senior Software Engineer to design and implement backend services and APIs for scalable AI model evaluation platforms across client silicon and inference frameworks.

You will build agentic AI workflows, containerized apps with Docker and Kubernetes, optimize model lifecycle and telemetry, and collaborate with AI engineers to push edge and on-device AI capabilities.