位于上海市的 19 个优质machine learning engineer职位（正在招聘！）

Software Engineer, AI and DL Kernel Libraries
NVIDIA —上海市
- 全职
Software Architect, Autonomous Vehicles - Backend and AI Agents
NVIDIA —上海市
- 全职
Validation / Verification Eng, Staff Engineer
Synopsys —上海市
Data Scientist Intern
Roche —上海市
- 实习
Data Engineer, IS&T Ai & Data Platforms
Apple —上海市
4天
汽车软件与AI解决方案销售_ETAS
Bosch Group —上海市
快速申请
Senior Product Manager - AI, Amazon Global Selling - PMO
Amazon (Shanghai) International Trading Company Limited Beijing Branch —上海市
- 全职
Senior AI Engineer (Python/ML)
EPAM Systems, Inc. —上海市
Software Engineer - Athena Synapse, IS&T Ai & Data Platforms
Apple —上海市
4天
Engineering Program Manager, IS&T Ai & Data Platforms
Apple —上海市
4天
Software Dev Engineer Intern, (Sustaining Operations) 2026 Shanghai
Amazon (China) Holding Company Limited —上海市
- 全职
P10K - Accenture - AI/ML Computational Science Manager
Accenture —上海市
- 全职
Senior Manager-AI Algorithm
AstraZeneca —上海市
2天
Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR
Bosch Group —上海市
快速申请
Software Dev Engineer Intern, (Manufacturing&Ops) 2026 Shanghai
Amazon (China) Holding Company Limited —上海市
- 全职
Software Dev Engineer Intern, OpenSearch, 2026 Shanghai
Amazon (China) Holding Company Limited —上海市
- 全职
Machine Learning Engineer, ML Infrastructure (New Grads)
Unity Software (Shanghai) Co., Ltd —上海市
Staff/ Senior Machine Learning Engineer, ML Infrastructure- Offline
Unity Software (Shanghai) Co., Ltd —上海市
10天
Staff/ Senior Machine Learning Engineer, ML Infrastructure- Online
Unity Software (Shanghai) Co., Ltd —上海市

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Software Engineer, AI and DL Kernel Libraries

NVIDIA -
上海市

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职位详情

全职

完整职位描述

We're looking for outstanding AI systems software engineers to develop groundbreaking technologies across the inference systems software stack. Our team builds core AI systems software that accelerates high-impact workloads on NVIDIA GPUs, from deep learning primitives and kernel libraries to LLM inference runtimes, serving abstractions, and code generation technologies. As a member of the team, you will help design, build, optimize, and ship production-quality software that powers NVIDIA's AI software stack.

This role spans both foundational library engineering and next-generation inference systems work, with opportunities to contribute across the stack from low-level kernels and performance primitives to serving runtimes and developer-facing abstractions. You may work on GPU-accelerated deep learning primitives, efficient attention kernel implementations, LLM serving components, just-in-time compilation systems, software abstractions, and performance-critical runtime infrastructure for large language models, agents, and other advanced AI workloads. You will collaborate with world-class engineers across deep learning software, compilers, GPU architecture, and open-source inference ecosystems, and your work will directly impact NVIDIA's AI platform and the performance of real-world workloads at scale.

What you'll be doing:

Develop production-quality software that ships as part of NVIDIA's AI software stack, including cuDNN, FlashInfer, and optimized support for large language model inference workloads.
Innovate and develop new AI systems technologies for efficient inference, with a focus on performance, scalability, maintainability, and usability.
Design, implement, and optimize kernels for high-impact AI workloads across LLM inference, generative AI, computer vision, autonomous driving, and recommender systems.
Design and implement extensible software abstractions for deep learning libraries, LLM serving engines, and runtime systems.
Build and improve just-in-time compilation, code generation, and runtime technologies for performance-critical GPU workloads.
Analyze workload performance, tune current software, and propose improvements to future software and hardware-software interfaces.
Collaborate closely with engineers across deep learning frameworks, libraries, kernels, compilers, and GPU architecture teams at NVIDIA.
Contribute to open-source communities and ecosystem integrations where relevant, including projects such as FlashInfer, vLLM, and SGLang.

What we need to see:

Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
3+ years of relevant industry, research, or systems software development experience in machine learning, deep learning systems, compilers, or GPU software. More experience is expected for senior-level candidates.
Strong programming skills in C/C++ and Python, with hands-on experience developing high-performance software.
Solid experience with CUDA development and GPU programming fundamentals.
Strong experience developing or using deep learning frameworks such as PyTorch, JAX, TensorFlow, or ONNX.
Good understanding of linear algebra, performance analysis, profiling, and code optimization.
Experience designing software abstractions, APIs, or higher-level system architecture for performance-sensitive systems.
Familiarity with modern machine learning and inference system trends, especially around LLMs and generative AI.
For senior candidates, strong experience in GPU kernel development and performance optimization, especially using CUDA C/C++, cuTile, Triton, or similar technologies, is expected.

Ways to stand out from the crowd:

Hands-on experience with inference engines and runtimes such as vLLM, SGLang, MLC, TensorRT-LLM, or similar systems.
Background in domain-specific compiler, code generation, or library solutions for LLM inference and training.
Expertise in machine learning compilers or IR systems such as MLIR, Apache TVM, TensorIR, or related technologies.
Practical experience with GPU performance modeling, computer architecture, or accelerator-oriented software design.
Open-source project ownership or meaningful contributions in deep learning systems, compilers, kernels, or inference infrastructure.

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在上海市的machine learning engineer个职位

Software Engineer, AI and DL Kernel Libraries

Software Architect, Autonomous Vehicles - Backend and AI Agents

Validation / Verification Eng, Staff Engineer

Data Scientist Intern

Data Engineer, IS&T Ai & Data Platforms

汽车软件与AI解决方案销售_ETAS

Senior Product Manager - AI, Amazon Global Selling - PMO

Senior AI Engineer (Python/ML)

Software Engineer - Athena Synapse, IS&T Ai & Data Platforms

Engineering Program Manager, IS&T Ai & Data Platforms

Software Dev Engineer Intern, (Sustaining Operations) 2026 Shanghai

P10K - Accenture - AI/ML Computational Science Manager

Senior Manager-AI Algorithm

Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR

Software Dev Engineer Intern, (Manufacturing&Ops) 2026 Shanghai

Software Dev Engineer Intern, OpenSearch, 2026 Shanghai

Machine Learning Engineer, ML Infrastructure (New Grads)

Staff/ Senior Machine Learning Engineer, ML Infrastructure- Offline

Staff/ Senior Machine Learning Engineer, ML Infrastructure- Online

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