Total 41 job vacancies by CN05 NVIDIA Shanghai WFOE

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

We are now seeking a Sr Compiler Engineer with strong leadership and mentoring skills to join our Java Compiler Team. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest Data Centers: https://www.nvidia.com/en-gb/data-center/grace-cpu/. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world. In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! Our compiler organisation makes its mark on every CPU, GPU, DPU and SoC product that NVIDIA builds. Would you like to be part of this outstanding organisation?

What you'll be doing:

• Work with a distributed team of compiler engineers to improve code generation for key Java applications accelerated by Grace and Grace-Hopper systems

• Collaborate with stakeholders from application performance, CPU architecture and marketing teams to accelerate Java on Grace and Grace-Hopper systems.

• Improve Java performance by innovative compiler optimization techniques in Java Compiler and JVM.

• Participate in complete HW / SW co-design cycle from pre-silicon to launch to customer support.

• Contribute optimizations and features into Open Source projects

• Participate and Drive standards and definitions for Java evolution in Open Source

What we need to see:

• Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience)

• 5+ years of production software development in Compiler or related SW with focus on optimizations, improvements to Java Compiler, JVM.

• Deep expertise in Java compilation stack with experience in implementing Java features, APIs and exploiting architectural features for performance

• Strong software design fundamentals and a deep understanding of compilers and programming languages

• Demonstrated expertise with ARM architecture including SVE2 and Neon.

Ways to stand out from the crowd:

• Deep knowledge of Processor architecture such as ARM

• Deep knowledge of Java run-time environment

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. You will also be eligible for equity and benefits.

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 are looking for Principal algorithm engineer/architect for Autonomous Vehicles to do online mapping. In this role, you will help craft and guide the future of our autonomous driving solution that helps the car perceive the world around it and build the 3D model of the driving environment. We seek extraordinary engineers who are passionate about building self-driving cars and who have a background in sensor fusion, multi-view geometry, and embedded real-time software. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!

What You'll Be Doing:

• Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.

• Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.

• Design and integrate algorithmic solutions into the core of NVIDIA AV.

• Write safe embedded software code to run in real-time systems.

• Develop highly efficient product code in C++ and make use of algorithmic parallelism offered by GPGPU programming (CUDA).

• Produce code and designs following automotive quality and safety standards.

What We Need To See:

• Bachelor’s / Master’s / PhD in Computer Science or a related field with 15+ years of experience.

• Software industry experience.

• Strong C++ development skills.

• Passion for robotics and autonomous vehicles.

• Drive to learn new things and tackle meaningful problems.

• Outstanding communication and cross-team collaboration.

• Independent and analytical software engineering skills.

• Ability to work in both Chinese and English languages.

• Software development on embedded or automotive platforms.

Ways To Stand Out From The Crowd:

• Technical leadership for a 5+ person team and architecture design experience with strong API and framework design skills.

• Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters, particle filters.

• Understanding of ADASISv2 as well as crowdsourced maps and geographic information systems (GIS). 

• Runtime optimization of code using profilers.

• Experience with CUDA parallel programming.

We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, 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.

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,

NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software engineer to join our Autonomous Vehicles (AV) China Drive-Alpha team in Shanghai. As the Drive-Alpha L2 Software product engineer, you will be driving the delivery of the L2 Driving and Parking features, evaluating the L2 SW stack, and resolving field test issues with developers.
China Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, many with proven development experiences for the highly competitive China market in key L2 functions like ACC, LK/LC, Automated Parking Assist (APA), TSA, and Active Safety, and advanced L2+/L2++ function like highway NOA and Urban NOA with and without HD-Map. This team is responsible for the integration and sign-off of NDAS component teams’ merge request/change lists, promotes validated changes to merge into stable branch, analyzes the root-cause (RC) of the regression identified, and drive the corrective actions (CA) taken by component engineering teams for a productive CI/CD process of SW development. Also, the team members tightly integrate into component teams’ development, acting as a dependency resolver for the component teams to deliver cross-function enhancement that are most impactful to NDAS product. We cultivate teamwork among component teams’ engineers and establish positive relationships and communications with partner organizations.
 

What you’ll be doing:

• Provide in-depth and insightful test feedback on the quality of NDAS L2 driving functions (ACC, LK, and LC) and parking functions, based on the performance metrics demonstrated through offline-replay and in-car testing.

• Integrate, test and sign-off L2 SW stack’s code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS SW release,

• Analyze the root-cause of the issues identified in tests, and align with developers cross teams for a proper resolution of these issues.

• Join force with component team developers, when necessary, and produce production-quality code to component code base.

What we need to see:

• BS/MS/PhD in Electrical Engineering, Computer Science, or related fields or equivalent experience.

• 10+ total years related experience in software development, with 3+ most recent years of hands-on dev experience in ADAS features.

• Good coding skills in modern C++.

• Deep understanding of the L2 ADAS product features in China market.

• Hands-on experience in debugging hard ADAS SW problems.

• Excellent communication and interpersonal skills with ability to strive in a cross-disciplinary environment.

Ways To Stand Out From The Crowd:

• Experience of working as an integration and testing lead in a SOP-ed AV product.

• Hands-on development experience in one or more modules such as obstacle perception, prediction, planning. and control.

• Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component).

• Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.

NVIDIA has some of the most forward-thinking and hardworking people in the world. If you’re creative and autonomous, we want to hear from you!
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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.

We are now looking for a Senior Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plan to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products.

What you’ll be doing:

• Review product requirements and develop test matrix.

• Build test plan, design test case, execute and report test progress, bugs, and results to management.

• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

• Manage bug lifecycle and co-work with inter-groups to drive for solutions.

• In-house repro and verify customer issues/fixes.

What we need to see:

• BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 5+ years QA experience.

• Proficient in Unix/Linux and shell/python programming skills.

• Rich experience in test cases development, tests automation in API/UI and failure analysis.

• Good knowledge and hands-on experience in Large Language Model (LLM) testing.

• Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.

• Excellent communicator, fluent written and verbal English.

• Good teamwork with ability to work independently.

• Passion to learn new hardcore technology.

Ways to stand out from the crowd:

• Experience in Selenium or Playwright is a strong plus

• Previous experience working with NVIDIA GPU hardware is a strong plus

• Experience in parallel programming ideally CUDA/OpenCL is a plus

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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA chips are widely used in cloud computing and AI server today. Various companies uses those cloud computers and AI servers to deliver their product and the data processed by the cloud computer and AI server is the most valuable assets for them. This requires NVIDIA to deliver the world's most secure chip and system for cloud computing and AI server. We, NVIDIA MMPLEX SECURITY team, delivers secure engines to NVIDIA's GPU and Tegra chips to help protect both NVIDIA and customer's assets. Those engines are usually composed by a RISC-V core with secure extension, some crypto HW accelerators, and other components which is required to form a security sub-system. As the security sub-system becomes more and more complicated and the security engine is used in more and more chips, we are hiring a Senior Design Engineer to help building those security engines.

What you’ll be doing:

• Design, build and deliver NVIDIA Security Controller IP to the NVIDIA GPU and NVIDIA Tegra SOC. This IP is to provide a Secure Execution Environment for some applications which require high security running on NVIDIA GPU or Tegra chips.

• You will be participated in every phase of the IP design. From feature define, RTL coding, to RTL code quality check and synthesis of this IP. Besides this IP’s own function, you will also need to talk with other GPU/Tegra teams to understand how to make this IP work properly with other modules on the chip.

What we need to see:

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

• 5+ years working experience, MS preferred.

• Strong design/implementation skills in Verilog, familiar with makefile, c++, Perl.

• Familiar with frontend ASIC design flow including RTL design, synthesis, Formality check, and timing check.

• Fluent oral English and excellent communication skills.

Ways to stand out from the crowd:

• Experience on ARM based SOC design.

• Familiar with AXI/APB protocol.

• Have the experience of security sub-system design.

• Strong at C++, Makefile, Perl, or Python besides Verilog HDL.

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.

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.

NVIDIA is seeking a Senior Technical Product Manager to lead the end-to-end delivery of autonomous parking features, from definition to launch.

We are widely considered to be one of the technology world’s most desirable employers, with some of the most forward-thinking people on the planet working with us. With our invention of the GPU, we set the stage for advances in the field of artificial intelligence, computer vision, and medical research. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!

What you will be doing:

• Define product goals & metrics for enabling autonomous parking features in China

• Outline the strategy/roadmap to achieve these goals, and lead its execution to completion by driving alignment across teams

• Coordinate the development & testing activities required to iterate on and launch the product

• Triage incoming issues, prioritize the most critical activities required for the product's success, and work with the relevant engineering teams to ensure they are completed

• Maintain a pulse on the overall health of the workstream, representing its progress to the broader team and proactively mitigating/communicating risks as early as possible

What we need to see:

• Bachelor of Science in Electrical Engineering or Computer Science, with 12+ years of experience in a similar or related role

• Experience working in a software development environment

• Track record of leading the launch of new products or features to users

• Strong leadership and communication skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

• Knowledge of autonomous vehicles and/or machine learning

• Experience with data analysis tools/languages such as SQL

• Worked on start-ups and/or early-stage products

If you're passionate about autonomous vehicles, we would love to hear from you!

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

We are seeking an energetic, hardworking software engineer to develop and productize key driver assistance and autonomous driving features for our DRIVE solution. In this role, you will work on a mix of planning and control problems to build focused software solutions. Through effective collaboration with established teams, you will help design and mature new products all the way through to production.

What you'll be doing:

Maturing and productizing new features entails a diversity of activities, including:

• Developing, tuning, and verifying safety critical algorithms using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics.

• Debugging and addressing different issues identified in simulations and in test drives.

• Collaborating with our globally distributed team to enhance the software architecture, design and build a robust system

• Defining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing products.

• Maturing prototype software to production quality.

What we need to see:

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent work experience.

• 3+ years of practical experience.

• Experience writing software in C++.

• Comfort with an Agile/Scrum software development environment using GitLab (or similar).

• Comfort developing software with GIT in a Linux environment.

Ways to stand out from the crowd:

We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

• Experience shipping automotive software products, especially ADAS.

• Exposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent.

• An expertise in fundamental physics - kinematic and dynamic models of rigid bodies.

• Theoretical expertise in control systems (optimal, adaptive, fuzzy, model predictive, robust, etc.).

• Background with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.).

• Experience building safety critical software architectures.

Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the drive with revolutionary hardware and software. Come join us at NVIDIA!

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.