Dell

1 week ago

Software Senior Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 50 minutes agoStatus: Live

Job Summary

Join the AI Innovation Lab to design and implement backend services and APIs for scalable AI model and system evaluation. Build persona-driven dashboards and evaluation pipelines to measure performance, latency, and quality across diverse client hardware. Develop and deploy AI/ML solutions for edge and on-device inference, integrate inference frameworks, and optimize model serving. Collaborate with AI engineers and data scientists while containerizing and orchestrating deployments using Docker and Kubernetes.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement backend services and APIs for scalable AI model and system evaluation platforms, enabling benchmarking across client silicon and inference frameworks.
•Build persona-driven dashboards and evaluation pipelines to assess model performance, latency, and quality across diverse hardware configurations.
•Develop and deploy AI/ML software solutions for client silicon, integrating telemetry and optimizing inference for on-device and edge deployment.
•Evaluate and integrate inference frameworks, optimize model serving, and explore multi-tier compute architectures spanning CPU, GPU, NPU, and high-end AI silicon.
•Build agentic workflows, tools, and agent skills; containerize and orchestrate deployments with Docker and Kubernetes, and automate system-level tasks using shell scripting.

Key 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, plus solid understanding of SDLC and agile methodologies.

Experience:5+ yearsAIEdge AIAI/MLAgentic AI

Education:Bachelor's in Computer Science, Engineering, AI/ML, or related fields

Languages:US

Tech Stack:PythonRustC++Shell scriptingBackend service developmentAPI designKubernetesDockerSDLCAgileMicrosoft WindowsRTOSEmbedded systemsTelemetryModel evaluationInference servingVLLMOllamaSGLangIntel OpenVino

Company Brief

Dell

Designs, manufactures and sells computers, servers, storage, networking equipment, and related IT solutions and services for consumers, small businesses, and enterprises worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Round Rock, United States

Founded: 1984

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Dell

1 week ago

Software Senior Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 50 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement backend services and APIs for scalable AI model and system evaluation platforms, enabling benchmarking across client silicon and inference frameworks.
•Build persona-driven dashboards and evaluation pipelines to assess model performance, latency, and quality across diverse hardware configurations.
•Develop and deploy AI/ML software solutions for client silicon, integrating telemetry and optimizing inference for on-device and edge deployment.
•Evaluate and integrate inference frameworks, optimize model serving, and explore multi-tier compute architectures spanning CPU, GPU, NPU, and high-end AI silicon.
•Build agentic workflows, tools, and agent skills; containerize and orchestrate deployments with Docker and Kubernetes, and automate system-level tasks using shell scripting.

Key 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, plus solid understanding of SDLC and agile methodologies.

Experience:5+ yearsAIEdge AIAI/MLAgentic AI

Education:Bachelor's in Computer Science, Engineering, AI/ML, or related fields

Languages:US

Company Brief

Dell

Designs, manufactures and sells computers, servers, storage, networking equipment, and related IT solutions and services for consumers, small businesses, and enterprises worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Round Rock, United States

Founded: 1984

Glassdoor: 3.8

Website LinkedIn Glassdoor