Total 144 Firmware Engineer job vacancies in China

NVIDIA is hiring a Senior RTL Engineer to design, analyze, and evolve next generation SoC solutions. We are looking for special individuals with passion and desire to deliver innovative products. Together, we will build the next generation of life changing SoC's. If you are a motivated individual that understands how SoC systems are architected and built, has intimate knowledge of client requirements, and understands various development cycles, this is your place to be.

What you'll be doing:

• Working with customers, partners, and IP vendors to understand SOC/IP solutions best suited for the target use cases and work with them to select and integrate appropriate IP/SOC solutions.

• Work with Architects, Chip Leads, and Customers on SOC/IP design, development, timing closure, power analysis, methodology alignment, and program execution to ensure pre-silicon and post-silicon targets are met.

• Integrating, evolving, and optimizing IP blocks across a range of products and use cases for NVIDIA SoCs in driving, 5G, cloud, gaming, and other applications.

• Working with teams throughout the company (Architects, RTL, PD, Circuit, SI, Thermal, SW, Platform, Operations, Marketing, etc...) on implementing cross-team solutions to achieve project targets.

• Drive cross-team methodologies for RTL development and microarchitecture.

What we need to see:

• B.S. or M.S. in Computer Engineering or Electrical Engineering (or equivalent experience)

• 7+ years of relevant work experience in RTL development focused on CPU, GPU, and high-performance architectures.

• Proficiency in industry-standard RTL development and synthesis tools.

• Experience developing high-speed digital blocks.

• Experience debugging complex microarchitectural structures

• Strong interpersonal, communication, and teamwork skills.

• A drive to continuously learn and expand architectural breadth and depth.

• Ability to evaluate microarchitectural options for tradeoffs across design, verification, and PD.

• Experience interconnecting and analyzing complex microarchitectural structures and subsystems.  

Ways to stand out from the crowd:

• Cross-cultural work and study experience

• Experience in ARM-based SOC definition and development

• Experience in partner and customer engagement for usecase/chip solution.

We are now looking for a Senior DevOps Engineer . You will work on open-source technologies and enterprise adoptions such as:

• Accelerate Apache Spark with GPU (Spark-RAPIDS) to speedup data processing and machine learning dramatically

• Medical deep learning framework (project MONAI) that revolutionizes healthcare AI solutions worldwide

• Federated learning technology (NVFlare) that builds generalizable AI models from diverse data sources while ensuring data security and privacy

What you'll be doing:

• Serve as a technical leader in defining, designing, developing, and maintaining the DevOps tools, frameworks & platforms

• Implement, advocate, and carry out CI/CD conventions and write tools to automate various steps involved in this process

• Develop and maintain Build, Deployment, and Continuous Integration infrastructure

• Enable the development team by providing automated build and test solutions using Docker, Kubernetes/YARN, and on-prem/CSPs

• Work with open source communities, including RAPIDS, Spark, MONAI, and NVFlare, on CI/CD

• Work closely with Development and QA teams to help ensure end-to-end quality

• Full stack development opportunities depending on the candidate's capabilities

What we need to see:

• BS or MS in Computer Science, Computer Engineering, or closely related fields

• 10+ years of working experience in software development

• 2+ years experience in CI/CD system, Strong programming and debugging skills in Python/Java/C++ with extensive bash scripting experience

• Strong hands-on skills

• Excellent knowledge of Gitlab/Github or other source version control systems

• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Jenkins, Kubernetes, Docker, etc)

• Strong experience in build tools like maven, setup tools, cmake, unit testing, and code-coverage tools

• Strong skills in software release process (maven repository, PyPI, Conda)

• Familiar with various Linux systems like Ubuntu, CentOS, Rocky and with cloud services like AWS, Azure, GCP

• Good knowledge of open-source big-data technologies (Spark, Hadoop) and/or ML/DL frameworks (TensorFlow, PyTorch)

Ways to stand out from the crowd:

• Good open-source project management skills

• Kubernetes, YARN, Spark, or Ray experience

• Experience with Configuration Management such as Ansible, and Terraform

• Knowledge of monitoring systems (Prometheus, Grafana)

• Experience with CUDA would be a huge plus

We are an AA/EEO/Disabled employer and with highly competitive salaries and a comprehensive benefits package, 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. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. 

We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. 

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add an [Staff Firmware Engineer, BMC] located in [TW Taipei Wugu Site].

The Staff Engineer, BMC will be based in Taiwan Taipei Wugu Site. The Staff Engineer, BMC performs the responsibility for system design in BMC Solution Projects request.

What a typical day looks like:

• Design OBMC Firmware by applying knowledge of BMC architecture
• Customize OpenBMC stack to meet customer's requirement
• System level debug and root cause analysis for BMC firmware design
• Cross-function teamwork for issues analysis and debug
• Overall project responsibility in all aspects on SW design related- from project kick off to end of M.P.

The experience we’re looking to add to our team:

• Bachelor or above degree in Electrical Engineering or Computer Science
• 8+ years' experience for debugging, development, and testing work in the Linux environment
• Be highly passionate and interested in BMC development and capability of teamwork in multi-task environment
• Solid understanding of software implementation/design experience is required.
• Experience developing device drivers for peripherals and connectivity buses (e.g., I2C, SPI, PmBus, USB).
• Capability of independent research and working with new technologies is required.
• Excellent written and verbal communications skills (in Mandarin and English) is required.

Here are a few of our preferred experiences:

• With strong sense of responsibility (be able to go on business trips, dispatch overseas is preferred)
• Domain expertise in OpenBMC or AST2600 firmware development experience is plus
• OOB or In-band System Management experience with DMTF standards IPMI and Redfish is plus.

What you’ll receive for the great work you provide:

• Social Insurance (Labor Insurance, NHI, Labor Pension)
• Group Insurance (Life Insurance)
• PTO

Job Category

Required Skills:

Optional Skills:

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. 

We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. 

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Staff CPLD Firmware Engineer located in Taiwan Taipei Wugu Site.

What a typical day looks like:

• Skilled FPGA/CPLD Design Engineer with strong capabilities in Server /Storage system- and hardware-level design.
• Responsible for development and integration of CPLD/FPGA that implement functionality on prototypes: spanning from low-level hardware sequence control, logic control & status for embedded systems, to high-speed links, to high level IP blocks, to custom hardware-accelerated algorithms & filters.
• Work closely with Hardware, BIOS, BMC and Firmware team for CPLD/FPGA development.
• Designing validation plan and development spec.
• Debugging platform and systems issues.

The experience we’re looking to add to our team:

• 3-10 years of working experience in Firmware development.
• Familiar in Verilog RTL language. Experienced with CPLD/FPGA development on Lattice, Altera and Xilinx devices.
• Experience with I2C, SPI, LPC, UART, PCIe protocol design
• Experience with verification methodologies, RTL and gate level simulations and debug.
• Good problem solving skills.

What you’ll receive for the great work you provide:

• Social Insurance (Labor Insurance, NHI, Labor Pension)
• Group Insurance (Life Insurance)
• PTO

Job Category

Required Skills:

Optional Skills:

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

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.

NVIDIA is seeking a Senior Custom SOC/IP Verification Engineer to verify the next generation SoC and IP solutions. We are looking for special individuals with passion and desire to deliver innovative products. Together, we will build the next generation of life changing custom SOCs. If you are a motivated individual that understands how complex SOC and IPs are built, and understand various development cycles, this is your place to be.

What you'll be doing:

• Responsible for ASIC design verification for various IPs at IP and SOC levels

• Responsible for reference model development and integration 

• Participate in IP/SOC architecture, micro-architecture reviews, interface with Architecture, SW/FW, Design, and Modeling to work out comprehensive first-time right verification plans

• Contribute to the innovative verification methodology development, functional and code coverage closure.

• Work on the complex TB creation, direct/random tests and drive the function and coverage to closure.

• Contribute to the development of silicon and platform verification strategy and methodology

• Triage the fail on SOC level with SOCV/EMU/SW team

• Collaborate with IP development teams, and participate in, and support soft and hard IP identification, selection, and IP licensing

What we need to see:

• Clear understanding of complexities involved with various design verification tools, including Synopsys VCS or Cadence Xcelium Simulator, Verdi, JasperGold or VC Formal

• Track record of first-pass success in ASIC Development

• B.S. or M.S. degree in Computer Engineering or Electrical Engineering

• Experience working across multiple projects and adjusting priorities in partnership with stakeholders

• 5+ years of experience owning processing ASIC, IP or SoC design verification

• Experience managing and delivering complex mixed language UVM and C++ testbenches

• Ability to interpret functional specs and creating comprehensive test plans

• Ability to write directed and constraint random test to achieve coverage-driven verification closure

• Strong programming skills in C++/SystemC. Familiar with the GDB debugging.

• Experience developing tools and infrastructure using Perl or Python

Ways to stand out from the crowd:

• Hands-on experience with AMBA protocols such as AXI, ACE, CHI, etc.

• Hands-on experience with complex subsystems in new technologies like ARM CPU complex, LPDDR, HBM, GPU’s, DLA, PCIE or Network on chip and with performance verification

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness.

What you will be doing:

• Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.

• Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.

• Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems

• Work with the Planning & Control team to develop and drive software testing strategies

What we need to see:

• BS, MS, or PhD or equivalent experience in electrical, mechanical, aerospace engineering, physics, computer science or similar fields

• 5+ years experience working in software engineering,, data science, and/or experiment design roles

• Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)

• Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system

• Ability and enthusiasm to ramp up quickly on new technical domains

• Ability to multitask and prioritize in a fast paced environment

• Excellent organizational and interpersonal skills

Ways to stand out from the crowd:

We would love to see a track-record of working on and shipping testing and evaluation products. We definitely want to hear from you if your background includes one or more of the following:

• Experience with working in a large monorepo and with Bazel.

• Developed metrics for autonomous vehicle robotics systems

• Familiarity with C++

• Experience with modern data processing pipelines and technologies (i.e. Spark, Airflow, Flyte).

• Prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and autonomous vehicles.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest fields such as virtual reality, deep learning, artificial intelligence, graphics virtualization, photo realistic rendering and more. Come join us at NVIDIA!

NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI, you will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.

What you'll be doing:

• Develop and maintain the infrastructure for managing large language models (LLMs) based application specifically adapted for the chip design and hardware domain.

•  Develop and maintain LLM based applications to serve hardware engineers, such as LLM based QA bot, code generator etc.

• Collaborate with HW chip designers and LLM research teams to understand the specific needs and challenges of GPU design and ensure the LLM infrastructure is well-suited to these needs.

• Collaborate with LLM research teams to collect & organize training / fine-tuning data to train hardware specific language model

•  Optimize the infrastructure for performance, scalability, and reliability, and ensure the secure and efficient management of data.

• Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.

What we need to see:

• Bachelor's or higher degree in Computer Science, Computer Engineering or related major.

• Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.

• Strong proficiency in Python and web development, and familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering, etc.

• Understanding of chip design and related computational and data challenges.

• Experience with data management, including doc cleaning, transformation, and secure storage.

• Excellent problem-solving skills and the ability to work effectively in a team.

• In depth understanding of Machine Learning / Deep Learning / NLP concepts. 

Ways to stand out from the crowd:

• You crafted & developed production quality microservices

• Strong technical background in cloud/distributed infrastructure

• An excellent plus if you are familiar with front-end development using React or Vue.js

• Strong understanding of SQL & NoSQL Data platforms.

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 and autonomous, we want to hear from you!

NVIDIA SOC System-ASIC team is hiring a verification engineer. In this role, you will work closely with Arch, design and verification engineers to thoroughly verify some top-level related control units (like: Fuse/Floorsweep, Strap, Reset, Sysctrl) and some silicon measurement related units from unit-level to fullchip-level. Those units are important IPs used in both NVIDIA GPU and Tegra products.

What you’ll be doing:

• Micro-architecture definition for System-level modules (Fuse, Strap, Floorsweep, In-silicon measurement, Reset, Sysctrl, etc...)

• Unit-level and System-level verification for System-level modules.

• Own some NVIDIA internal checks to guarantee the design quality.

What we need to see:

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

• Above 2 years of ASIC design/verification experience.

• Familiar with verification methodology, tools and flow.

• Understand frontend ASIC design flow including RTL design, synthesis and timing analysis.

• Excellent analytical and problem-solving skills.

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

• Good team work spirit, easy to cooperate with team members.

Ways to stand out from the crowd:

• Broad knowledge with Video techniques, SOC architecture and Computer architecture is a big plus.

• Strong programming skills in C/C++, SystemVerilog, Perl and Python is appreciated as a plus.

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 and autonomous, we want to hear from you!

We are now looking for a GPU C++ Modeling Engineer – Performance/Functional Modeling, Validation and Analysis of Shader.

TPC arch team is a fast-growing team which welcomes all level engineers to join. Our aim is to explore and design better architecture of GPU which will help AI program run efficiently and rendering in games become faster and more realistic. TPC is core of GPU. It includes several units for schedule, computation and cache.  You will work will US team closely, including test writing, function and performance implementation of kinds of features and study of new features.

What you’ll be doing:

• Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture.

• Develop performance and functional simulation models.

• Develop performance and functional testplan and tests to validate new SM architectural and features.

• Test and debug on simulators, RTL and real silicon.

What we need to see:

• 3+ years of experience.BSEE, BSCSE, or equivalent required. MS or PhD is a plus.

• In depth knowledge of computer architecture, with good understanding of modern ISA and microprocessor implementation techniques.

• Good understanding of GPU concept and pipeline, in terms of Graphics processing and parallel compute.

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

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

• Experience with trace-driven and execution-driven simulation model development is a plus.

• Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred.

Ways to stand out from the crowd:

• Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred.

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 and autonomous, we want to hear from you!