NVIDIA

1 month ago

AI Computing Development Engineer, TensorRT and TensorRT-LLM AIGV

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join NVIDIA's AI Computing team to design and optimize TensorRT and TensorRT-LLM inferencing software across platforms, contributing to generative AI, computer vision, speech recognition, and large-scale models. You’ll perform performance analysis and tuning, track AI advancements, provide architecture feedback, collaborate across hardware/software/research, and publish results at leading conferences, with increasing technical leadership over time.

Location: Shanghai, Beijing, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and develop robust inferencing software (TensorRT/TensorRT-LLM) optimized for functionality and performance across platforms
•Perform performance analysis, optimization, and tuning of deep learning inference workloads
•Track and integrate academic and industry advancements in AI and feature-update TensorRT/TensorRT-LLM accordingly
•Provide feedback into architecture and hardware design and development
•Collaborate across hardware, software, and research teams to shape the direction of machine learning inferencing across NVIDIA platforms

Key Requirements

•Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused field (or equivalent experience)
•Strong Python or C/C++ programming and software design experience, including debugging, performance profiling, and test design
•2+ years working experience
•Strong curiosity about artificial intelligence and familiarity with the latest developments in deep learning — including generative models, multimodal systems, and large neural networks
•Experience working with deep learning frameworks such as PyTorch, TensorRT/TensorRT-LLM, SGLang or vLLM

Experience:2+ yearsAIDeep Learning

Education:Master's

Skills:CommunicationCollaborationSelf-drivenProblem-solving

Languages:English

Tech Stack:PythonC++PyTorchTensorRTTensorRT-LLMSGLangVLLM

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions 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: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

AI Computing Development Engineer, TensorRT and TensorRT-LLM AIGV

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Shanghai, Beijing, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and develop robust inferencing software (TensorRT/TensorRT-LLM) optimized for functionality and performance across platforms
•Perform performance analysis, optimization, and tuning of deep learning inference workloads
•Track and integrate academic and industry advancements in AI and feature-update TensorRT/TensorRT-LLM accordingly
•Provide feedback into architecture and hardware design and development
•Collaborate across hardware, software, and research teams to shape the direction of machine learning inferencing across NVIDIA platforms

Key Requirements

•Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused field (or equivalent experience)
•Strong Python or C/C++ programming and software design experience, including debugging, performance profiling, and test design
•2+ years working experience
•Strong curiosity about artificial intelligence and familiarity with the latest developments in deep learning — including generative models, multimodal systems, and large neural networks
•Experience working with deep learning frameworks such as PyTorch, TensorRT/TensorRT-LLM, SGLang or vLLM

Experience:2+ yearsAIDeep Learning

Education:Master's

Skills:CommunicationCollaborationSelf-drivenProblem-solving

Languages:English

Tech Stack:PythonC++PyTorchTensorRTTensorRT-LLMSGLangVLLM

Company Brief

NVIDIA

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: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor