Deep Learning Architect Physical Ai jobs at Nvidia in China, Beijing

What You’ll Be Doing:

• Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers.

• Assist in supporting industry accounts and drivingresearch/influencing/newbusiness in those accounts.

• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.

• Understand and analyze customers' workloads and demands for accelerated computing, including but not limited to: LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.

• Assist customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, TensorRT-LLM,NeMoFramework, etc.

• Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.

• Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

What We Need To See:

• 3+ years’ experience withresearch/development/applicationof Machine Learning, data analytics, or computer vision work flows.

• Outstanding verbal and written communication skills

• Ability to work independently with minimal day-to-day direction

• Knowledge of industry application hotspots and trends in AI and large models.

• Familiarity with large model-related technology stacks and common inference/training optimization methods.C/C++/Python programming experience

• Desire to be involved in multiple diverse and innovative projects

• Experience using scale-out cloud and/or HPC architectures for parallel programming

• MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience.

Ways To Stand Out From The Crowd:

• AIGC/LLM/NLP experience

• CUDA optimization experience.

• Experience with Deep Learning frameworks and tools.

• Engineering experience in areas such as model acceleration and kernel optimization.

• Extensive experience designing and deploying large scale HPC and enterprise computing systems.

What you will be doing:

• Investigate and resolve sensor calibration and egomotion algorithm/toolchain issues across multiple OEM vehicle platforms.

• Develop core autonomous driving functionality for global markets by fusing state-of-the-art perception DNNs with map signals.

• Build real-time 3D world models for planning, integrating diverse inputs from sensors and external sources.

• Develop and optimize LLM, VLM, and VLA systems for autonomous driving applications, including pre-training and fine-tuning.

• Design innovative data generation and collection strategies to improve dataset diversity and quality.

• Collaborate with cross-functional teams to deploy end-to-end AI models in production, ensuring performance, safety, and reliability standards are met.

What we need to see:

• A MS, or PhD, or equivalent professional experience in Computer Science, Computer Engineering, Mathematics, Physics, or a related discipline.

• Over 3 years of relevant industry experience.

• Expertise in C/C++ programming, with a comprehensive understanding of standard C++ features, algorithms, and data structures, along with proficiency in Linux environments.

• In-depth knowledge of parameter models for sensor calibration.

• A solid grasp of digital image processing, three-dimensional multi-view geometry, nonlinear optimization, and KF/EKF.

• A robust mathematical foundation, especially in matrix-related concepts.

• Engineering expertise in developing and delivering deep learning applications for autonomous vehicles or robotics

• Engineering expertise in developing and delivering real-time 3D world models for planning in AV system.

• Excellent collaboration skills and the ability to work effectively with individuals from various nationalities and locations.

Ways to stand out from the crowd:

• Experience with a range of sensors and their data (camera, lidar, radar, IMU, GNSS, CAN Odometry).

• Extensive experience in SLAM algorithms

• Extensive deep learning experience related to autonomous driving.

• A track record of designing SLAM algorithms for successful ADAS projects.

What you will be doing:

• You will work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures

• You will provide the best AI solutions using GPUs working directly with key customers

• Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

What we need to see:

• Pursuing MS or PhD from a leading University in an engineering or Computer Science related discipline

• Strong knowledge of C/C++, software design, programming techniques, and AI algorithms

• Experience with parallel programming, ideally CUDA C/C++

• Good communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

Preferred internship duration: 4+ months

What you’ll be doing:

• Develop and implement solutions throughout software development lifecycles to improve developer efficiency, accelerate feedback loops, and boost release reliability

• Experience designing, developing, and deploying AI agents to automate software development workflows and processes.

• Continuously measure and report on the impact of AI interventions, showing progress in metrics such as cycle time, change failure rate, and mean time to recovery (MTTR).

• Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.

• Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

What we need to see:

• BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.

• Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and Agent development

• Strong background in implementing AI solutions to solve real-world software engineering problems.

• Hands-on experience on Python/Java/Go with extensive python scripting experience.

• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

• Full-stack, end-to-end development expertise, with proficiency in building and integrating solutions from the front-end (e.g., React, Angular) to the back-end (Python, Go, Java) and managing data infrastructure (SQL/NoSQL).

• Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.

• Good understanding of distributed systems, understanding of microservice architecture and REST APIs.

• Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.

Ways to stand out from the crowd:

• Proven expertise in applied AI, particularly using Retrieval-Augmented Generation (RAG) and fine-tuning LLMs on enterprise data to solve complex software engineering challenges.

• Experience delivering large-scale, service-oriented software projects under real-time constraints, demonstrating an understanding of the complex development environments this role will optimize.

• Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.

What you'll be doing:

• Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

• Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.

• Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

What we need to see:

• A degree from university in an engineering or computer science related discipline (BS; MS or PhD preferred).

• Strong knowledge of C/C++, software design, programming techniques, GPU arch, parallel computing, and AI algorithms.

• Prefer solid skills of CUDA C/C++ programming, performance profiling and optimization.

• Prefer expert knowledge of GPU arch.

• Good communication skills.

What you will be doing:

• Work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures

• You will provide the best AI solutions using GPUs working directly with key customers

• Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

What we need to see:

• Available to work as intern for at least 3 months+, 3 days per week

• Pursuing MS or PhD from a leading University in an Engineering or Computer Science related discipline and will graduate in 2027

• Strong knowledge of C/C++, software design, programming techniques, and AI algorithms

• Experience with parallel programming, ideally CUDA C/C++

• Good communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

What you'll be doing:

• Developing and implementing GPU solutions that cater to both graphics and computing workloads using NVIDIA’s innovative technology.

• Engaging directly with customers to understand their requirements and provide flawless solutions, ensuring their success with NVIDIA products.

• Working closely with internal teams to identify and effectively implement GPU solutions that align with our rigorous quality standards.

• Applying your expertise with NVIDIA GPUs, including CUDA, frameworks, and SDKs, to achieve world-class performance and reliability.

• Leading and participating in customer projects, encouraging a collaborative and inclusive environment to achieve shared objectives.

What we need to see:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent program.

• 5+ years of experience.

• Demonstrated background working with NVIDIA GPU technology, encompassing Graphics, CUDA, frameworks, and SDKs.

• Proficient knowledge in handling graphics and computational tasks on NVIDIA GPUs.

• Outstanding communication prowess, adept at expressing thoughts in English verbally and in writing.

• Demonstrated ability to work effectively in a team setting, contributing to project success.

• Experience interacting with customers while comprehending and attending to their requirements.

• Familiarity with infrastructure skills such as Kubernetes (k8s) and a deep understanding of public cloud techniques is a plus.