Total 17 Art / Design / Entertainment job vacancies in Shanghai, China

• You will prepare documents (e.g., cost estimates, sketches, and clarifying drawings) used during change order negotiations.
• You will analyze contract specifications to determine compliance of proposed work with occupational safety requirements.
• You will perform constructability review of contract documents (e.g., plans and specifications) before contract award.
• You will review contractor quality control plans and procedures to verify compliance with contract requirements.
• You will perform site visits to evaluate contractor compliance with applicable contract clauses and evaluate the accuracy of progress reports submitted.

We are now looking for Computer Architecture Interns in our group!

The NVIDIA Architecture group is looking for world class architects and computer science interns to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful.
 

What you'll be doing:

• Enhance GPU architecture to extend the state of the art in performance, efficiency, programmability and reliability

• Analyze, tune and prototype key applications for new GPU architectures

• Build model to predict performance, power and reliability on future architecture

• Design and develop tools to analyze, simulate, validate, and verify application performance and energy consumption

• Collaborate across the company to guide the direction of GPU computing, working with software, research and product team

What we need to see:

• MS Degree in relevant discipline (CS, EE, Math).  PhD helpful

• Expert programming skills in C or C++

• Strong background in computer architecture, parallel processing, signal processing and/or high performance computing

• Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results 

Ways to stand out from the crowd:

• Optional/Plus -- Background in computer vision, machine learning, or any HPC domain

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

About the team:
Our team deliver many high-performance products based on the industry’s advanced technology with high frequencies up to 6400MHz. Our product processes include TSMC 3nm/5nm/7nm/12nm and Samsung 4nm/5nm/7nm/8nm/10nm, etc. In the team you will face great challenges such as FP, CTS, STA, etc. At the same time, you will get rich experience and advanced methodology.
Focus on high speed digital DDR and HBM IP physical implementation, develop necessary scripts or tools to enhance current PD design flow. Work in product projects, including but not limited to: complete the project tasks; solve design issue and provide flow to check and avoid similar issue; analyze and summarize PPA optimization methodologies and results, implement optimal design parameters and flows for different projects.

实习 - 数字后端工程师 (工作地点：上海)

职位描述：
(1)芯片物理设计, 后端布局布线，STA，物理验证等。
(2)团队合作，负责电路后端设计及交付，设计质量和进度控制

职位需求：
(1)微电子,电子工程硕士以上学历
(2)较强的问题分析以及团队合作能力
(3)较强的中英文口语沟通及写作能力
(4)熟悉数字后端工具
(5)积极主动, 有责任心

**每周可以工作至少3天，实习期6-8个月

We’re doing work that matters. Help us solve what others can’t.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Graphics performance team works on delivering an efficient and powerful graphics architecture every generation. The team studies graphics workloads and test out innovative HW/SW solutions on various platforms to address the inefficiencies in the current architecture. The work we do paves the path for real time rendering of some of the most complex and compute intensive visualization technique.

What you'll be doing:

• Investigate and study state-of-the-art real-time rendering techniques' implementation on GPU, to find performance issues

• Study DX and Vulkan APIs and their impact to GPU

• Propose ideas to improve GPU architecture based on quantitative study of existing and projected architectures.

• Drive and develop performance simulation models and simulation infrastructure.

• Design performance testplan and tests for new graphics units and architectural features.

What we need to see:

• Bachelor in CS or EE. Master and PHD is preferred.

• Strong curiosity about GPU graphics architecture, real time rendering technologies.

• Proven knowledge of computer science, with the focus on computer graphics and/or computer architecture.

• Good proficiency in C++ language and practical C/C++ development experience.

Ways to stand out from the crowd:

• Good understanding of state-of-the-art rendering techniques and their usage of GPU.

• Experience of performance modelling, profiling and analysis is a plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you.

Thanks,

Datacenters are evolving at an outstanding rate of innovation. NVIDIA is rapidly expanding its offerings in the Datacenter SoC Product space with a varying array of workloads. We are looking for outstanding individuals who are driven to lead workload analysis and optimizations and drive the future of SoC data center products from NVIDIA.

What you’ll be doing: 

• In this role, your primary role will be to analyze workloads that are run by major data center CSPs. Your work will be integral to defining the performance specifications of NVIDIA’s next generation of datacenter server SoC products.  

• Profile and debug SoC application performance, tracing through complex application, driver, and OS software stacks. 

• Communicate your learnings to architecture and engineering teams to bring performance differentiation. 

• Use and develop pre- and post-Si architectural models, analytical models, and tools to drive hardware architecture decisions to examine performance, perf/watt, perf/area, TCO, ROI and analyze tradeoffs based on customer and segment workloads and use cases. 

• Where necessary, build micro benchmarks for critical data center use cases to help evaluate against key performance metrics. 

What we’ll need to see: 

• A MS or BS in Electrical Engineering, Computer Science, Computer Engineering (or equivalent experience). 

• 10+ years of experience in SoC, CPU, and system performance architecture. 

• Extensive experience in software profiling and optimization. 

• Experience with tools for performance analysis. 

• Knowledge of Linux kernel internals, Filesystem, and memory architecture,  

• Solid in coding using any of languages like python, C/C++. Experience with version control tools (e.g. git). 

Ways to stand out from the crowd: 

• Good understanding of ARM and x86 platforms at architecture level 

• Experience in Cloud native applications optimization and debug 

• Solid knowledge of Architecture for Core, Mesh and IOs, such as PCIe is a huge plus

• Additional software skills such as SystemC modeling, OS/driver/real time software development 

Graphics performance team works on delivering an efficient and powerful graphics architecture every generation. The team studies graphics workloads and test out innovative HW/SW solutions on various platforms to address the inefficiencies in the current architecture. The work we do paves the path for real time rendering of some of the most complex and compute intensive visualization technique.

What you'll be doing:

• Investigate and study state-of-the-art real-time rendering techniques their implementation on GPU, to find performance issues

• Study D3D12, DX Machine Learning, DX and Vulkan APIs and their impact to GPU

• Propose ideas to improve GPU architecture based on quantitative study of existing and projected architectures.

• Develop performance simulation models and simulation infrastructure.

• Design performance testplan and tests for new graphics units and architectural features.

What we need to see:

• Bachlor in CS or EE. Master and PHD is preferred.

• Solid knowledge of computer science, with the focus on computer graphics and/or computer architecture.

• Strong interest in GPU graphics architecture, real time rendering technologies.

• Good mastery of C++ language and practical C/C++ development experience.

Ways to stand out from the crowd:

• Good understanding of state-of-the-art rendering techniques and their usage of GPU.

• Experience of performance modelling, profiling and analysis is a plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you.

Board/System Qualifying for Server, Automotive and Graphics products. This position will be responsible for DC-DC Power solution qualification and debugging of board level/system level using NVIDIA silicon chip products. Products may include Server baseboard/motherboard, graphics cards, Automotive and other embedded products. Successful candidate will be in a dynamic engineering environment, with the opportunity to participate in a wide variety of exciting and challenging projects.

What you'll be doing:

• DC-DC Power solutions testing and debugging.

• DC-DC Power solution simulation.

• Power solution Circuit analysis.

• System level qualification

What we need to see:

• Major in EE, or related field. MS candidate is preferred.

• Experience with X86, ARM PC/Server architecture.

• Good system knowledge of Desktop PC motherboards, Notebook motherboards, Graphics, Server systems, embedded systems.

• Knowledge with at least 2 of the followings: Signal integrity, Switch power supply, ARM based tool development

• Good English speaking and listening.

Ways to stand out from the crowd:

• Experience with using high speed oscilloscopes for signal quality measurement is a plus (e.g. Tektronics TDS7104)

• C/C++, Python programming is preferred.

• Experience in designing DC/DC power solution, or system design.

NVIDIA MMPLEX team, located in Shanghai, consists of over 300 team members. We are dedicated to delivering cutting-edge IP solutions to various NVIDIA product lines, including datacenter, GeForce, automotive, networking, and more. Our IPs encompass a wide range of technologies such as micro-processors, security, DL/CV accelerators, display, video encoder/decoder, and image processor. As a Verification Intern, you will play a crucial role in ensuring the quality and functionality of our hardware IPs.

What you'll be doing:

• Collaborating with experienced verification engineers to conduct comprehensive verification of hardware IPs, including developing test plans, creating test benches, and running simulations.

• Exploring and studying industry-standard verification methodologies, such as UVM (Universal Verification Methodology), to enhance the efficiency and effectiveness of the verification process.

• Working closely with design engineers to identify and debug issues, perform coverage analysis, and contribute to the overall verification strategy.

• Participating in cross-functional team discussions and design reviews to gain insights into the entire IP development process.

What we need to see:

• Currently pursuing a Master's degree (or equivalent experience) in Electrical Engineering (EE), Computer Science (CS), or a related field.

• 3+ years work experience.

• Strong understanding of digital design concepts and basic knowledge of hardware description languages, such as Verilog or VHDL.

• Demonstrated ability to learn quickly, adapt to new technologies, and solve complex problems.

• Excellent communication and teamwork skills.

Ways to stand out from the crowd:

• Proficiency in scripting languages, particularly Python, to develop automation tools and improve verification efficiency.

• Solid mathematical foundation and familiarity with mathematical algorithms used in verification.

• Familiarity with industry-standard verification tools and methodologies, such as SystemVerilog and UVM.

NVIDIA is committed to fostering a diverse work environment and takes pride in being an equal opportunity employer. We highly value diversity among our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We are looking for a first-class Deep Learning Performance architect to join in us to drive the performance analysis, modelling and optimization of top Datacenter, Automotive and Client AI inference networks. In this role, you will analyze top inference networks, identify, prototype or model perf opportunities to guide SW and Arch for NVIDIA’s current and net generation inference products (GPU and SOC). Help Win every MLPerf Inference submission. 

What you’ll be doing:

• Establish deep learning applications and use-cases for performance analysis, modelling, and projections

• Analyzing and proposing both SW and HW optimizations for deep learning applications

• Specify hardware/software configurations and metrics to analyze performance, power, accuracy and resiliency in existing and future uni-processor and multiprocessor configurations

• Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, library, and compiler teams

What we need to see: 

• MS or PhD in relevant discipline (CS, EE, Math) or equivalent experience with 2+ years of experience

• Track record of designing architectures to accelerate computational demanding algorithms and applications

• Strong background in computer architecture

• Expert mathematical foundation in machine learning and deep learning

• Strong programming skills in C, C++, Perl, or Python

Ways to stand out from the crowd:

• Prior experience working on assembly level performance optimization

• Experience working with deep learning frameworks like Caffe, TensorFlow and Torch

• Familiarity with GPU computing (CUDA, OpenCL) and HPC (MPI, OpenMP)

• Background with systems-level performance modeling, profiling, and analysis

• Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 30 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems. Our newest platform, NVIDIA Omniverse, allows individuals and enterprises to build, collaborate, and develop 3D content for world-scale simulation at the speed of light. Omniverse is built around Pixar’s USD (Universal Scene Description), MDL (Material Definition Language), and PhysX (scalable multi-platform physics solution) with open-source standards and multi-application collaboration at its heart. As the on-ramp to the Metaverse, the ability to create large, sophisticated 3D worlds is now possible, and with the applications already familiar to most creatives. Doing what's never been done before takes vision, innovation, and the world's best talent. At NVIDIA, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
 

What you'll be doing:

• You will help our customers discover NVIDIA’s newest technology and guide their journey through its adoption. Your customers will come from the worlds of Manufacturing (MFG) especially in Auto sector, Architecture, Engineering and Construction (AEC), and Media and Entertainment (M&E).

• You will educate them on NVIDIA’s hardware, developer SDKs, and central to your position, with Omniverse. Your knowledge of complex 3D pipelines and content creation workflows will be an asset as you help guide our customers to the right solution to their most viable challenges.

• Develop and demonstrate 3D workflows based on NVIDIA Omniverse.

• Educate Customers on our product portfolio from GPUs to developer SDKs and full-stack Datacenter architecture.

• Work directly with key customers to understand their workflow and guide them on standard methodologies the best technical solutions.

• Help customers bring up and test new GPU workstations, servers, and clusters both on-premises and in the cloud.

• Engage with customers and drive adoption of GPUs for more than just graphics, increasing the value of GPUs in the Datacenter.

• Understand the trade-offs in different solutions and develop the best architecture for our enterprise customers.

What we need to see:

• An extraordinary passion for pioneering computer-graphics and deep learning.

• Experience with DCC applications pertaining to real time 2D/3D graphics, ray tracing, and geometry manipulation.

• 8+ years work experiences with proven experience with 3D engines such as Unreal Engine or Unity.

• Bachelor's degree in Computer Science or equivalent practical experience.

• Knowledge of full interactive 3D pipeline (model to interactive application) across an industry (MFG especially in Auto sector , M&E, AEC).

• Experience with DCC tools such as 3dsmax, Maya, Revit, Blender, Substance.

• Familiarity with Linux operating systems and being comfortable developing Python scripts and modules.

• Outstanding communication skills, be organized and play well with others.

• Strong written and oral communications skills in English with the ability to effectively collaborate with management and engineering.

Ways to stand out from the crowd:

• Auto sector background

• Artistic skills (digital or otherwise) and experience with PIXAR's USD(Universal Scene Description)

• Experience with C++, CUDA, Vulkan, OpenGL and any related debugging and profiling tools.

• Knowledge of container-based workflow and containerized/virtualization technologies.

• Good technical English, all internal communications are world-wide.

NVIDIA MMPLEX team, located in Shanghai, consists of over 300 team members. We are dedicated to delivering cutting-edge IP solutions to various NVIDIA product lines, including datacenter, GeForce, automotive, networking, and more. Our IPs encompass a wide range of technologies such as micro-processors, security, DL/CV accelerators, display, video encoder/decoder, and image processor. As a Verification Engineer, you will play a crucial role in ensuring the quality and functionality of our hardware IPs.

What you'll be doing:

• You will participate in the research of verification methodology to improve automation and productivity to produce Nvidia’s new high-quality products.

• Read IAS and design specs to understand the design requirement and build corresponding testplan. Review the testplan with arch/design engineers.

• You responses to build block/IP testbench based on UVM methodology.

• The responsibilities include building test run and regression flow. Triage failures in regression and help designer root cause the bug.

• Work includes Build various metrics (passing rate, functional coverage, etc) and monitor its health.

• Take SOC verification on fullchip test environment for IPs

• Analyse functional/code coverage result and identify the coverage holes. Work with design engineer to improve the coverage score.

• Deploy the advanced verification methodology and infrastructure of the SOC/IP

What we need to see:

• BS / MS in electrical / computer engineering or equivalent experience.

• 3+ years (MS) or 5+ years (BS) working experience.

• Familiar with advance verification methodology, tools and flow

• Fully experienced verification flow, including testplan, test, coverage model, testbench, BFM modeling.

• Deep understanding in Verilog and HVL (High-level Verification Language)

Ways to stand out from the crowd:

• Strong programming skills in Perl and C/C++is plus

• Having good arch/design experience is big plus.

• At least good at one of the script programing language: Perl, Shell, Ruby, Python.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for creative hardware architect to join us in architecting world class crypto accelerator IPs.

We are a team responsible for building world-class security IPs to accelerate various cryptographic algorithms for NVIDIA GPU and Tegra SOC.

As a senior hardware architect for the security IP team, you will focus on the architecture definition of the crypto IP, you will work with system security architects and software users, to understand use case requirements and security standards, to build architecture to fulfill all architecture requirements, to improve the performance, power efficiency, side-channel resiliency, and other security protections of the IP, to deliver architecture specification to both GPU and Tegra SOC, help bringing NVIDIA products to another level. You will be able to work with world-class security architects and crypto experts in the industry to develop in-house instruction set extensions.

What you'll be doing:

• Work with system security architects, to define architecture/micro architecture for next generation of in-house crypto accelerator

• Explore solutions to improve side-channel resiliency to meet the highest standards

• Explore solutions to improve performance, power efficiency

• To build the design, make sure it meets all requirements, and deliver the IP to users

What we need to see:

• BS / MS in electrical / computer engineering and related or equivalent experience.

• 3+ years (MS) or 5+ years (BS) working experience on design of crypto accelerator hardware or related area

• Working experience in crypto algorithms and its implementation (AES, SHA, PKC, RSA, PQC, RNG or equivalent experience)

• Experience in FIPS or Common Criteria certifications is a strong plus

• Bachelors, masters, or PhDs of computer science, electronics engineering, and relevant or equivalent majors are welcome.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA MMPLEX display team delivers cutting-edge IP solutions to multiple NVIDIA product lines, for example: GeForce, automotive, etc. We are looking to grow our teams with the smartest people in the world. Join us if you want to learn about the world’s leading IP technology and development process.

What you'll be doing:

• Read design specs to understand high-level requirements and compose micro architecture documents before IP implementation.

• Use advanced ASIC design methodology and flow to deliver a perfect IP block.

• Refine IP from area/timing/power etc perspective

• Work with the verification team and fix design bugs

• Learn how to packetize an IP and deliver for different chips

• Support features brought up in FPGA, Emulation, Silicon

What we need to see:

• BS/MS in electrical/computer engineering or equivalent experience.

• 5+ years’ experience in ASIC design.

• Strong design/implementation skills in Verilog. Solid understanding of microarchitecture and timing/power optimization skills of digital design. Understanding coverage & assertions.

• Strong debug capability

• Fluent English (both written and spoken) and excellent communication skills

• Demonstrated ability to work independently as well as in a multi-disciplinary group environment

Ways to stand out from the crowd:

• Expert analytical skills

• Strong script skills in either perl or python, understand Makefile

• Good understanding of C/C++ and Makefile

• Familiar with DisplayPort/HDMI, display pixel processing unit like scalar and color space conversion, DSC, is a big plus

• Experience with FPGA/QT, silicon bringup

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We’re looking for a Senior Architecture Engineer. NVIDIA MMPLEX display team is hiring senior/junior architecture engineers. In this role, you will work closely with the design and verification engineers to define, implement, and verify the good quality display IP. The display IP is used in both GPU and Tegra chips, which are used in NVIDIA products around the world.

What you'll be doing:

• Building for NVIDIA next-generation display IPs

• Define Display IP module architecture

• Build the reference model for verif and SW teams

What we need to see:

• BS/MS in electrical/computer engineering or equivalent experience.

• 5+ years experience in ARCH area of the semiconductor

• Solid C++ coding skill

• Good in document writing

Ways to stand out from the crowd:

• Familiar with DisplayPort/HDMI spec, or HDR pixel processing is a big plus

• Python script skill is a plus

• Demonstrated ability to work independently as well as in a multi-disciplinary group environment

• Proactive & teamwork

• Fluent English (both written and spoken) and excellent communication skills

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.