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Senior Developer Technology Engineer - Windows AI Platform

NvidiaSingaporePosted 19 May 2026

Nvidia is seeking a Senior Developer Technology Engineer in Singapore to optimize AI and GenAI applications on the RTX AI platform. The role involves solving end-to-end GPU deployment challenges, utilizing profiling tools, and contributing to open-source LLM projects. Candidates will collaborate with engineering teams and external partners to enhance performance on Windows and ARM architectures. This is an IC role for a seasoned professional looking to influence next-generation GPU features.

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Experience

5+ years

Function

Engineering

Work mode

Onsite, Singapore

Company

Tier 1

What you will work on

Nvidia is seeking a Senior Developer Technology Engineer in Singapore to optimize AI and GenAI applications on the RTX AI platform. The role involves solving end-to-end GPU deployment challenges, utilizing profiling tools, and contributing to open-source LLM projects. Candidates will collaborate with engineering teams and external partners to enhance performance on Windows and ARM architectures. This is an IC role for a seasoned professional looking to influence next-generation GPU features.

TAL's take

Quality 90/1005/5 clarityTier 1 company

High-impact role at a top-tier tech leader focusing on cutting-edge AI and GPU optimization.

The JD is highly specific regarding technical responsibilities, target platforms (Windows RTX), and optimization focus.

Salaries at Nvidia

29.5 LPA average

Based on 43 Grapevine salary entries for Nvidia.

View all salaries

Engineering

0 - 2 years | IC2

14 LPA average

Range: 5 - 21 LPA

Engineering

2 - 4 years | IC3

21 LPA average

Range: 20 - 22 LPA

Engineering

4 - 6 years | IC3

29 LPA average

Range: 23 - 35 LPA

Engineering

6 - 8 years | SDE 2

30 LPA average

Range: 17 - 37 LPA

Must haves

  • 5+ years professional experience in local GPU deployment, profiling and optimization
  • Strong proficiency in C/C++ and Python
  • Familiarity with Windows operating system
  • Experience with open-source LLM and GenAI software
  • Experience with CUDA and NVIDIA's Nsight suite

Tools and skills

c/c++pythonwindowsllmgenaicudansight

Nice to have: cudnn, cutlass, tensorrt, vulkan, dx12, npu, arm architectures.

About the company

Nvidia is a global Tier-1 technology leader in AI and GPU computing.

Posts mentioning Nvidia