NVIDIA_新加坡商輝達開發有限公司台灣分公司

We are looking for a Senior Mixed-Signal / Analog Circuit Designer – someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed mixed-signal circuit designs. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. What you'll be doing: - You will be part of an analog team developing high-speed chip interfaces and complex analog functions that enable our graphics processing units (GPU) and SoC products (Tegra) - Design state-of-the-art mixed-signal circuits in deep sub-micron CMOS technologies. - Work closely with physical/layout engineers to floorplan and implement physical design of these functions. - Support debug, characterization and support product through high-volume production. - If you have the dream to learn and explore new technologies and have good analytical skills, this is the ideal position for you. What we need to see from you: - Have a MSEE or PhD in Electrical Engineering with a minimum of 5 years of relevant circuit design experience. - Proven understanding of analog circuit layout concepts in submicron CMOS technologies - You have experience in more than one of the following areas: digital links for display interfaces (such as HDMI, LVDS, DVI, MIPI PHY, Display Port), USB, low-jitter clock synthesis using PLL techniques, IO pads, high-speed serial links, and ADC. - Able to communicate in spoken and written English - Work effectively in a team, good communication skills, enthusiasm and positive energy. - Proficiency in scripting languages like perl, python, skill etc. - Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA) - You are an expert with Cadence custom circuit design tools - particularly virtuoso - Experience running and debugging DRC and LVS with verification tools 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. 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 has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come to join the team and see how you can make a lasting impact on the world. Are you passionate about software security and interested in the opportunity to deliver, craft and build the strong security software for our Tegra SoC’s for automotive, supercomputers, robotics, mobile devices, and more? If so, the Tegra system software team at NVIDIA is where you belong. What you'll be doing: - Design/implement security and system software solutions for Tegra Automotive, Embedded and Data Center platforms. - Develop bare-metal software and firmware for security processor/enclave. - Triage and debug various software issues in complex systems/applications. What we need to see: - B.S. or M.S. or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering. - 3 years or above experience in software development. - Strong system software engineering skills combined with a drive to solve hard problems. - Strong programming and debugging skills in C, C++ and Assembly language. - Good understanding of operating system internals and embedded systems. - Strong written English and oral communication skills to collaborate with other engineers (worldwide). - A great teammate; self-motivated with a good attitude and the ability to work independently with minimal direction. Ways to stand out from the crowd - Experience in developing system software components, device drivers in Linux kernel space, RTOS or embedded platforms. - Background with working on security related features. - Experience in advanced and next generation CPU architectures for ARM or RISC_V. - Good understanding of common cryptographic algorithms and techniques. - Defensive security programming skills and penetration testing experience.

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world. We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. This includes but is not limited to architecting, developing and adapting different system components like bootloaders, OS device drivers and frameworks for virtualized environments guided by functional safety architecture ( ISO26262 standard ) to meet different OEM requirements. This role also involves building close technical relationships with our partners during product development and coordinate with the architecture and software teams to develop the best solutions for partners working on our platform. NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these challenging opportunities in Autonomous Driving. We are looking for a Senior System Software Engineer with strong experience in security domain, with exposure to virtualization and ARM architecture. What you will be doing: - Architecture, development and enhancement of security related features on QNX, Linux and bootloaders as part of Drive OS stack. - Lead the architecture discussions for security offering and directly interface with customers to support DRIVE software solutions. - Lead the discussions with customers and support to integrate NVIDIA DRIVE OS components into the customer’s security architecture. - Continuously evolve and support requirements gathering process and traceability flow. - Actively coordinate with cross-functional engineering teams to meet customer's requirements and to drive complex issues to closure. - Participate in architectural explorations which include feasibility studies, safety evaluations and data analysis. - Hardware configuration and performance tuning - Participate and lead Chip and Board bringup - Interface with ASIC teams - Features and enhancements for customers What we need to see: - BS/MS or equivalent experience. - 3+ years of overall experience and preferably with 2+ years of automotive industry experience. - Experience with ARM-based SoC architectures and TrustZone implementations. - Experience working on Secure boot, hardware-accelerated cryptography, PKCS #11 APIs. - Experience building and implementing secure software. Preferably to standards relevant for automotive security (e.g. ISO-21434). - Background with security threat modelling - Understanding of QNX/Linux operating system and hands-on experience with device driver development - Strong C/C++ programming skills - Strong understanding of ARM processor architecture fundamentals - Strong background in embedded software development and deep knowledge of product development lifecycle. - Exposure to functional safety architecture to meet ISO26262 standard. - Exposure to Hypervisor and device driver development for virtualized environments - Effective written and verbal communication regardless of audience or issue complexity.

The eRoT firmware team is searching for Security Engineer to develop security firmware for the next generation of hardware root of trust and deploy it on NVIDIA DGX server, GPU baseboard, and Tesla boards. You will participate in a focused effort to develop and productize ground-breaking solutions that will be applied on many NVIDIA products. You'll find the work is exciting, fun, and meaningful challenging. We have deadlines, customers, and competitions. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our eRoT Firmware Team, you will be a key leader responsible for the security of our DGX software stack. What you'll be doing: ‧ Be involved in the definition, architectural design, and development of security firmware for NVIDIA DGX products with an opportunity to craft its future. ‧ Assist with defining and making sure software development process meeting security standards. ‧ Perform security threat modelling for our software. ‧ Design and/or make recommendations for security solutions that apply to the software to satisfy DGX server security guidelines and requirements. What we need to see: ‧ Bachelors or higher in electrical engineering, computer science, or computer engineering (or equivalent experience) ‧ 5 years or above experience in software design, development, analysis or equivalent field. ‧ Experience in building and implementing secure software. Familiar with DMTF PLDM, MCTP, SPDM standards is a plus. ‧ Experience in embedded software development in Linux environment. ‧ Experienced with FreeRTOS ‧ Experienced with security technologies: Root of Trust, etc. ‧ Experience in threat modeling and modeling attack-vectors. ‧ Experienced with SBIOS and BMC firmware is a plus. ‧ Strong programming skills in C/C++, algorithms, and data structures. ‧ Strength being hands-on with development in addition to experience in software security. ‧ Deep understanding of computer architecture, operating system fundamentals. ‧ A strong teammate; self-motivated with positive attitude with a motivation to learn, grow and build. Ways to stand out from the crowd: ‧ A successful candidate should be able to work independently and highly self-motivated. He or she should drive issues with little or no supervision. ‧ A key success for this position is not only a thorough understanding of system architecture, security and software, but also solid grasp of system design, use case requirements and software stacks. ‧ Excellent communication skills, flexible in task assignments and working under pressures are also indispensable for this candidate.

We're now looking for a Senior Digital Design Verification Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join our diverse team today! As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving. We have put together a best-in-class team that delivers IPs that will be consumed by standard as well as industry-leading proprietary high-speed protocols! What you'll be doing: - Verification of the digital design, golden models and micro-architecture of the SerDes IPs using advanced verification methodologies such as UVM. - Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology. - Responsible for understanding the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design. - Write and execute test plan and thoroughly verify a design in a product shipment focused / compressed schedule. - Work with architects, designers, and pre and post silicon verification teams to accomplish your tasks. What we need to see: - Bachelors or Masters Degree (or equivalent experience) in Electrical Engineering, Computer Science, or Computer Engineering - At least 5 years of proven experience. - Background in verification at Unit/Sub-system/SOC level and expertise in SystemVerilog a must. - Experience using random stimulus along with functional coverage and assertion-based verification methodologies a must. - Experience in verification methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug. Ways to stand out from the crowd: - Expertise in bus or interconnect protocols (e.g. PCI Express, USB, SATA) a big plus. - Experience in verifying complex SerDes system, understanding mixed-signal designs, and have experience in modeling of analog circuits a big plus. - Perl, Python, C/C++ programming language experience. - Good debugging and analytical skills. - Good communication skills & dream to work as a great teammate. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are now looking for a Sr. Automotive/Embedded System Software Engineer! The candidate will work directly in developing or integrating NVIDIA Automotive/Embedded software technologies into various NVIDIA Automotive/Embedded platforms, including platform bring up, driver porting and integration, use case development, and problem solving. The candidate might work with customers to provide deep technical assistance and also assist customers to achieve fully optimized design with NVIDIA products and provide customer feedbacks as to product features and software enhancements What you'll be doing: ‧ Work directly in developing or integrating NVIDIA Automotive/Embedded software technologies into various NVIDIA Automotive/Embedded platforms ‧ Might work with customers to provide deep technical assistance ‧ Assist customers to achieve fully optimized design with NVIDIA products ‧ Provide customer feedbacks as to product features and software enhancements What we need to see: ‧ 6+ experience in relevant domain ‧ Good English language skills to work effectively with global teams ‧ Full experience at Linux, QNX or Android ‧ Excellent C skills ‧ Experience working on embedded systems and ARM processor specific Ways to stand out from the crowd: ‧ Excellent debugging and problem solving skills ‧ Self managing and ability to break down complex problems in to manageable tasks. ‧ Experience working in following areas is a plus: AutoSAR, device drivers, multimedia, graphics, OpenCL, OpenCV, CUDA, Deep Learning, and AI

We are looking for an Engineer to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the high-speed Serdes platform for the future of computing. What you'll be doing: - As a key member of our circuit verification team, you will verify the design and implementation of the industry's leading GPU - Responsible for verification of the Mixed Signal CMOS circuit design, architecture, golden models using advanced verification methodologies - You are expected to understand complex mixed-signal CMOS circuits design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design. - Work closely with Multi-functional teams, circuit and logic design, verification, test engineering to accomplish tasks. What we need to see: - Bachelors Degree in EE, CS or CE with at least 2 years of relevant experience or an Advanced Degree with equivalent experience - Experience in deep sub-micron process design experience in CMOS Analog / Mixed Signal Circuit Design - Background with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA) - Experience in crafting test bench environments for component and top level circuit verification - Expertise in System Verilog or similar HVL - Strong debugging and analytical skills - Perl and C/C++ programming language experience desirable - Strong communication skills and ability & desire to work as a great teammate are huge plus. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll 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. Are you passionate about software security and interested in the opportunity to deliver, craft and build the strong security software for our Tegra SoC’s for automotive, supercomputers, robotics, mobile devices, and more? If so, the Tegra system software team at NVIDIA is where you belong. What you will be doing: - Involve in architecture, design, implementation and testing of bare-metal software and firmware for security and embedded processor in a complex system. - Contribute to all phases of product development driving for the highest levels of security, reliability and functional safety. - Take active role in new silicon lifecycle, from pre-silicon simulation/emulation, test validation to power-on bring up phases. - Specify and implement test cases while actively seeking improvements to test automation and software quality. - Work closely with the architecture and different software and hardware design teams to improve the next generation of NVIDIA System-on-Chips What we need to see: - B.S. or M.S. or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering. - 2+ years of software development experience. - Strong system software engineering skills combined with a drive to solve hard problems. - Strong programming and debugging skills in C, C++ and Assembly language. - Good understanding of operating system internals and embedded systems. - Familiar with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.) - Good communication skills. - A great teammate; self-motivated with a good attitude and the ability to work independently with minimal direction. Ways to stand out from the crowd: - Experience in working on security related features. - Proficient in advanced and next generation CPU architectures for ARM or RISC_V. - Experience in developing system software components, RTOS, Linux kernel and embedded platforms. - Good understanding of common cryptographic algorithms and techniques. - Defensive security programming skills and penetration testing experience. - Strong scripting, tools development skills and techniques such as software fuzzing, formal verification, etc. - Proven interests and attitude to strive for the most secure, reliable and quality firmware/software.

NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers and embedded SW. You should demonstrate the ability to excel in an environment with complex software and hardware designs. What you’ll be doing: - Refactor code to take advantage of these frameworks to reduce complexity, improve consistency and modularity; providing the open source framework for NVIDIA GPU drivers. - Designing and developing C language extensions and interface definition languages (IDLs); providing the foundation for NVIDIA GPU drivers. - Refactor code to take advantage of these frameworks to reduce complexity, improve consistency and modularity. - Work closely with both hardware engineers and other software engineers to design, develop, and debug features for our GPUs and mobile system-on-chip (SOC) devices. What we need to see: - BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree or equivalent experience. - 5+ years of significant software development experience. - Demonstrate a hand on technical background; excellent C programming, C++, Perl/Python, and low-level driver experience. - You are an asset if you have familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc). - Kernel experience with Linux, Android, Chrome, or Windows systems. - Experience with complex system-level debugging is invaluable. Ways to stand out from the crowd: - Deep understanding of Compiler/LLVM techniques. - Familiarity with large scale code refactoring techniques. - Experience on big complex system-level SW build flow/maintenance/Open Source Project. - Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

Do you visualize your future at NVIDIA? WE DO! Nvidia is looking for best in class Software Development Engineers to join our outstanding USB driver engineering team, developing driver, firmware and application to deliver high throughput and lowest latency with low CPU utilization! Come and take a significant part in architecting, developing and verifying innovating solutions. Enjoy working in a relevant, growing and highly professional environment where you make a huge impact in a technology-focused company. What you will be doing: - Architect and develop solution for real world USB problems - Daily work involves all aspects of development: Architecture, Design, Coding, Production and Verification We are looking for candidate with the following experience: - BS (or equivalent experience)/ MS. in Electrical Engineering, Computer Science/Engineering - 3+ years of relevant work experience - Excellent programming skills in C and C++ - Knowledge of embedded or mobile system software - Working experience on Android and Embedded Linux OS is a plus - Practical experience with USB 3.1 - Working with hardware team Ways to stand out from the crowd: - Excellent communications skills. May involve customer interactions - A strong team player; self-motivated and good attitude - Must be willing to learn and adapt new technology 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. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and join the best USB team! 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. 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’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? We are now looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team. What you’ll be doing: Study and develop cutting-edge 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. 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 good degree from a leading university or equivalent experience in an engineering or computer science related discipline (MS or PhD preferred). Experience with parallel programming, ideally CUDA, OpenCL and OpenACC. Confident knowledge of C/C++ and/or Fortran. Solid knowledge of software design, programming techniques, and algorithms. Strong mathematical fundamentals, including linear algebra and numerical methods. Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Knowledge in a specific domain is a plus, such as Deep Learning, Machine Learning, Atmospheric Science, Optics and Photonics.

We are part of the global engineering team at NVIDIA that designs state-of-the-art GPUs for all applications, such as supercomputers, gaming consoles, and self-driving cars. Come join us in our mission to Engineer the next generation of best-in-class products. Our team's focus is on the architecture and design of CMOS and Silicon-Photonics high-speed chip interfaces (NVLink, IEEE, PCIE, USB, OIF) and other complex photonic functions. We are seeking a senior level, self-driven professional with proven expertise to develop leading-edge test solutions for silicon photonics (SiPh) integrated circuit designs in the growing data center and high-performance computing markets. You will have the opportunity to work on developing high-speed active and passive photonics components, and contribute to the development of the next-generation photonics program. What You Will Be Doing: Develop codes for Silicon Photonic test stations and automation. Collaborate with photonic device designers. Work with other test engineering and design validation teams to perform full test and device characterization of silicon photonic devices. Partner with module developers and design teams to do electro-optical testing of the modules. Collaborate with external instrument vendors to ensure seamless software and control integration. Work closely with hardware and software teams on functionality, interfaces, and documentation. What We Need To See: MS or higher degree with a preference in EE, Physics, or material science. 5+ overall years of working experience in a related field on optical systems or opto-electronics devices. Knowledge of optical systems, modules, components, and photonics devices (lasers, detectors, modulators, transceivers, DWDM system.) Experience in test programing (Python, LabView, .net, etc.) with various instruments for semiconductor device testing, wafer probers and/or optical module testing. Familiar with optical component characterization techniques and optical test equipment is a plus. Experience of database (SQL) and data analysis tool (JMP, R, Python, etc.) Excellent written and verbal communication skills.

We are now looking for a Silicon Power Architect (Definition to Implementation). NVIDIA is seeking a Senior Power Architect to help us build power efficient and performance leading SOC's. This position offers the opportunity to have real impact in a dynamic, technology-focused company across product lines ranging from consumer graphics, to super computers, to self-driving cars, to AI. As a member of the architecture team, you will collaborate with other Architects, Software Engineers, Circuit Designers, ASIC Design Engineers, and System Engineers to study, devise and implement the power management strategy for NVIDIA's SOC roadmap. What you'll be doing: 1. Propose innovations to improve performance, reduce power, and reduce cost of the next generation of NVIDIA SOCs used across a wide array of industries and applications. 2. Develop models of our SOCs and platforms in order to understand and analyze their response under various conditions and use cases. 3. Perform detailed analytical studies of platform power and performance tradeoffs. 4. Develop specifications detailing our chip and platform power management solutions for internal and external consumption. 5. Work with teams throughout the company (RTL, PD, Circuit, SI, Thermal, SW, Platform, Operations, Marketing, etc...) to deliver innovative power solutions. What we need to see: 1. Bachelor or Master’s degree (or equivalent experience) 2. 8+ years of experience with silicon power management architecture techniques. 3. Successfully driven chip and system level architectural issues from inception through production. 4. Deep understanding of power principles and tradeoffs. 5. Strong interpersonal and teamwork skills. 6. An aim to continuously learn and expand architectural breadth and depth. Ways to stand out from the crowd: 1. ARM or other microprocessor experience.

Welcome to apply here: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/System-Design-Validation-Engineer_JR1995771 We are looking for Design Validation Engineer in Taipei for board/system power qualification and function test, responsible for NVIDIA Data Center platform, Graphics board, ARM Based platform and Autonomous Driving Platform. If you're creative and autonomous, we want to hear from you! What you'll be doing: - Server/Motherboard/Mobile system functionality test. - Clock/Sequency/GPIO signal measurement and verification. - WAT (wide area test) function test. - Gaming test. - High/Low speed interface SI test. - Co-work with hardware design engineers on debug and FA. - Co-work with mechanical/thermal engineers for cooler/heatsink design. What we need to see: - Bachelor/Master in EE, computer science, or relative majors. - Proficient with Linux system and GPU setup. - Capable of writing simple shell scripts and analyzing test results using commands. - Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting - Proficient with a programming language (C/C++, Python, Java, or Perl) - Understand UEFI boot OS startup process and out-of-band (OOB) management using BMC, ipmitool, and redfish. - Good English communication skills - 3 years’ experience or above Ways to stand out from the crowd: Experience in measuring DC-DC power solution. Proactive personality. Good team player. Strong desire on creativity. Quick thinking.

We are now hiring for a Senior Logic and Digital Circuit Design Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving. Your design will be consumed by standard as well as industry-leading proprietary high-speed protocols, and will serve as one of the key IPs in many complex SoC. You'll work closely with analog designers and system architects to independently come up with micro-architecture specification and refine adaptation algorithms. You'll then implement the RTL in SystemVerilog, define test cases that will deeply verify the design and carry out test creations. Next is to define and build constraints for synthesis and drive for timing closure. In addition to RTL design, you'll need to understand the analog schematics and write SystemVerilog models that collects the functionality of those circuits in the most precise way. What you'll be doing: - You will be working with ASIC controller teams to define a unified interface - Help in streamlining workflows with proper scripts to increase efficiency and enables reusability - Be actively involve in silicon bringup, build scripts that can be used for debug, QA, characterization and ATE What we need to see: - You should have a B.S. or MS degree in Electrical Engineering or equivalent experience - 5+ years of experience working in high-speed I/O digital design, knowledge at protocol level (SATA, PCIE, USB) preferred - Have a deep understanding of Verilog or SystemVerilog, logic design and circuit modeling in RTL for mixed-signal blocks - Experience with industry standard verification methodologies, such as UVM - Proven experience with custom digital circuit design and adaptation algorithms, such as DFE, CTLE, CDR, and offset cancellation - Experience with static timing tools (nanotime, primetime) and formal verification tools - Have a strong background in Perl and Python scripting - If you have a background in computer architecture and deep learning, this is a plus With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team in our Taiwan, Taipei Office. You will be joining a team whose primary mission is solving the intricate enigma of securing and innovating the boot process for our GPUs, while dealing with the formidable constraints of boot-time and storage space. Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse minds in the graphics software and GPU business. Your goal will be to craft the future of graphics technologies doing exactly what you enjoy: solving puzzles. If this sounds interesting and you’re up for the task, we’d certainly like to hear from you! Location: Taipei or Hsinchu What you'll be doing: · Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. · Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. · You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. · This job will require an understanding of our hardware and software architectures. What we need to see: · BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience · Strong C/C++ programming skills · Familiarity with PC architecture, and ability to work close to the hardware · Background with PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus · Previous experience of working on a large system software code base is preferable · Very strong problem solving and debugging skills · Ability to self-manage, show leadership, and have good interpersonal skills We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and talented people in the world working for us. If you're clever, creative, and driven, we'd love to have you join the team.

We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team in our Taiwan, Taipei Office. You will be joining a team whose primary mission is solving the intricate enigma of securing and innovating the boot process for our GPUs, while dealing with the formidable constraints of boot-time and storage space. Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse minds in the graphics software and GPU business. Your goal will be to craft the future of graphics technologies doing exactly what you enjoy: solving puzzles. If this sounds interesting and you’re up for the task, we’d certainly like to hear from you! Location: Taipei or Hsinchu What you will be doing: • As the manager, you will run multiple concurrent projects through active prioritization, and communication. • On the engineer management side, we want the manager to continue to groom future technical leaders in the team and recruit new talent. • Constant development is another area of responsibility. We look for candidates who are proactive - seek opportunities to improve NVIDIA product quality and production efficiency. • We also need our candidates to be reactive: be able to drive root cause of critical issues and embrace corrective actions. • Finally, we need our leaders to develop long range strategies for the team to prepare for new challenges and drive execution. What we need to see: • Bachelor of science in Computer Science, Computer Engineering, Electrical Engineering (or equivalent experience). • 5+ overall years of system software experience, deep understanding of software development principles, comfortable working in large code space and deep driver stack with 4+ years of managing a team. • Good programming skills in C/C++, python programming is a plus. • Solid understanding in computer architecture, operating system, kernel driver, device programming. • Experience driving feature development, multi-team debug. Ways to stand out from the crowd: • Knowledge of GPU compute or server product technologies like BMC (Baseboard Management Controller), Infiniband, PCIE, NVLink. • Prior management experience. We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and talented people in the world working for us. If you're clever, creative, and driven, we'd love to have you join the team.

Please prepare your English resume and apply via NVIDIA Career Site: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite?q=test&locations=91336993fab910af6d6f5eaae3acc14e NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! You will work closely with internal software development to come out good test infrastructure and develop test tools. Who would like challenge job? Who want to learn most popular AI framework? The job will give you the best challenge and achieve next career level. What you'll be doing: • The Job need to validate NVIDIA Enterprise Product server System and Security FW feature and automated it. Reproduce/analyze/verify customer issues. • You will work closely with internal software development to come out good test infrastructure and develop intelligent tools for optimums validation process. What we need to see: • BS or higher degree in Computer Science (or equivalent experience) and 5+ years of work experience. • Strong working knowledge of PCIe spec, verification, error injection related tests, and failure analysis. • Developing technical validation solutions to security vulnerabilities • Familiar with ACPI, UEFI, IPMI spec, and knowledgeable/experience on server FW validation. • Good communication/coordination/teamwork ability with develops/venders/internal team. • Ability to handle multi tasks at the same time. • Develop automation test infrastructure based data center. • Strong Linux development and debugging experience. Ways to stand out from the crowd: • Linux Python script/automation/tools creation. • Experience of working with teams in US. • Working in multi cultural environment. • Experience of developing x86/ARM based environment. • Have implemented error handling for x86/ARM based servers, online and offline health monitoring tools.

NVIDIA is looking for Senior HPC/AI Solutions Architect to join its Professional Services team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you will be doing: Primary responsibilities will include managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers. Support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement. Maintain services once they are live by measuring and monitoring availability, latency and overall system health Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements. Be part of an on call rotation to support production systems What we need to see: 5+ years providing in-depth support and deployment services, solving problems for hardware and software products. Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). HPC/AI Cluster management technologies EX: Bright Cluster Manager Minimum of a four-year degree from an accredited university or college or equivalent experience in Computer Science, or Electrical or Computer Engineering. Scripting proficiency(Bash, Ansible, etc). Good interpersonal skills with the ability to maintain and deliver resolutions for customer blocking issues as they arise. Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Experience with HPC/AI Schedulers, primarily Kubernetes, with consideration for Slurm, LSF, etc. Way to stand out from crowd: InfiniBand experience. Experience with GPU focused hardware/software. Experience with MPI. Automation tooling background (Ansible, Salt, Puppet etc.. Ethernet and Parallel Storage technologies

We are looking for a Senior Developer Relations Manager to lead and expand how NVIDIA connects with the research community in Taiwan. It is a dynamic, leadership role responsible for strategic relationships with core researchers and premier academic institutions, guiding and contributing to our existing and new programs that help researchers in the region to understand and solve their most challenging computational problems using NVIDIA’s technologies and platforms. This role is a high-profile position as an expert in modeling, simulation, accelerated computing, deep learning, digital twins. In this important role, will drive the engagement with top researchers to increase GPU and SDK adoption. You will play a significant role in defining future features for NVIDIA’s AI-informed models and simulation frameworks. An ideal candidate has a technical background in scalable modeling and simulation techniques, graphics, AI/ML/data science, as well as large-scale computing systems and scientific programming. Growing and cultivating the ecosystem of developers who use NVIDIA platforms to lead the AI revolution is a critical mission. The role is very closely aligned with our strategic priorities. What you will be doing: Promote NVIDIA’s portfolio of SDKs and accelerating its adoption within the academic research community and develop a rich ecosystem of strategic research partners and help them achieve their goals through close and active collaboration. Work with NVIDIA product management and various engineering teams to define software and hardware components needed to complement technical solutions identified by the academic community. Serve as a spokesperson, representing NVIDIA in the local and global strategic events such as conferences, workshops, briefings, meetups, academic seminars. Collaborate with NVIDIA engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps. Act as a technical authority on NVIDIA SDKs and frameworks for consultation and competitive analysis. Champion the use of NVIDIA technology stack among researchers in Taiwan. Participate and actively contribute to internal researcher engagement strategic management frameworks. Survey relevant research and business literature to identify emerging trends, notable innovations and opportunities to improve our products. Ensure a positive experience for external researchers and partners while working cross functionally within our organization. What we need to see: M.S./Ph.D. in Computer Science, Information Technology, Engineering, Data Science, Computational Physics, Applied Mathematics, or equivalent experience. C/C++ and Python programming experience. Experience in conducting research in domains such as high-performance computing, computer vision, image analysis and processing, computer graphics, deep learning, simulations, computational physics, artificial intelligence, natural language processing, robotics, digital twins. Experience in High-Performance Computing (HPC), parallel programming, and GPU-accelerated computing. Experience in using deep learning frameworks such as Tensorflow, Pytorch, MXNet. Excellent written and verbal communication skills. Experience speaking publicly to technical and scientific audiences. Ability to work in a team environment and learn new technologies quickly. Ability to influence and work with an extraordinary product and engineering team. Ways to stand out from the crowd: Existing relationships with a wide range of leading researchers and top research institutions. Experience working with NVIDIA SDKs. Working through product development and deployment using GPUs. MBA degree with focus on strategic management is a big plus.