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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!
What You’ll Be Doing:
A considerable part of the day-to-day job is staying up on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud that are built with the latest NVIDIA GPU supercomputers.
Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will assist them in building AI-accelerated data centers by leveraging GPU and DPU capabilities, ensuring optimal returns on their investment.
Lead and develop proof-of-concepts (PoCs) for solutions applied to enterprise and industrial applications such as LLM, RAG, recommender systems and image recognition using ML/DL frameworks.
Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers in building innovative NVIDIA technology solutions.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.
What We Need To See:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
4+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments.
Deep understanding of dense data-center design including compute, storage, networking, cloud APIs and IaaS.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
Comfortable working in a customer-facing environment.
Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across teams.
Ways To Stand Out From The Crowd
External customer-facing skill-set and background.
Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
Development experience with NVIDIA software libraries and GPUs or DPUs.
Knowledge of MLOps, DevOps and Cloud oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments etc.
Knowledge of MLPerf, LLM, RAG, AWS, Azure or GCP.
We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences. We are excited to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, and graphics.
The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
NVIDIANs work, think and learn as a team and thrive in a very inspiring environment, and are motivated by a culture that demands innovation and the highest standards. Our employees are passionate about parallel and visual computing. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance, and automotive design, and we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us pursue some of these unusual opportunities. The rewards are sweet and include collaborating with some of the best minds in the industry, and the opportunity to work on products that transform the way people work and play.
As an API Architect, you will be designing & developing highly scalable APIs to support large data volumes from ERP, Salesforce, SaaS, varied data sources such as Data Lake, Databases, distributed systems, applications, cloud & SaaS to name a few. You will help architecting companywide API landscape, drive API adoption, lead from the front for API/Microservices-led development strategy, and build DevOps models for self-service API deployment. You use Agile methodologies to design and develop the back-end using our software stack to improve speed & agility among integrated application environments. If you have a passion for innovation and driving large scape APIs/integration/ handling large data sets, we are looking for you.
What you’ll be doing:
Develop roadmap & framework to bring APIs developed via tools, platforms, Gateways, and standalone APIs to Enterprise API HUB
Lead & collaborate with multi-functional teams to drive API strategy
Define the API's features, security setup, internal/external onboarding process, scalability, centralized governance, a reference architecture for the API led Integration pattern to bring standardization across the organization
The focus is to enable Self-Service across workstreams, bring Product mindset to provide services to customers where the end-to-end API framework is Service, think about re-usability, and how one is able to use the platform without any handholding. Build metrics, Key performance indicators for API use, and monetization
Experience with Hybrid multi-cloud (Mix of IaaS, PaaS, SaaS & on-prem) applications, build the framework to drive reusability using API.
Strong technical expertise for the creation of API guidelines - standard methodologies, authentication, authorization frameworks by adopting industry-standard methodologies.
Understand concepts of threat modeling, Containerization and Scalability
What we need to see:
Bachelor’s/Master’s degree in Computer Science or equivalent experience
10+ years of experience in end-to-end API lifecycle from design, development
Validated expertise across multiple API platforms, gateways, have established API strategy for large organizations, and have defined Unified API Strategy, bringing standardization and API governance
Lead API strategy/roadmap initiatives while aligning the strategy to the business objectives for API personas such as Developers, Partners, Customers, Business Users
Experience in building large scale Developer Portal and is the ability to drive the entire API development lifecycle from design & build to governance & management
Expertise in containerization, micro-services architecture & multi-cloud integration patterns
Expert level knowledge in MuleSoft, CPIS, SAP APIM to include API proxies, mashups, rate limiting, security, analytics, monetization and developer portals.
Experience with design, development, and deployment of SOA based architecture for a large organization demonstrating multiple COTS Business applications is preferred Experience with Tomcat, XML, JMS, XSLT, WS-*, SOA/Integration, and API Management technologies and standards Experience with using a JAVA IDE (Eclipse, Intelli J, Netbeans)
Experience with common web connectivity and integration standards/protocols such as XML, SOAP, REST, JSON and JDBC
Programming Languages: Node.js, Java, J2EE, EJB, JSP, XML, Java Mail, JNDI, SOA, servlet, Struts, J2EE pattern Proficient in writing multi-threaded processes using MuleSoft APIs, Mule batch jobs, and Mule flows with Anypoint Platform
Ways to stand out from the crowd:
Prior experience demonstrating knowledge of Integrating Business process in functional areas like Planning, Order-to-Cash, Operations, and Finance.
Have established API-HUB for large enterprise supporting product driven APIs framework
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 on the planet working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!
What You’ll Be Doing
A considerable part of the day-to-day job is staying up on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud that are built with the latest NVIDIA GPU supercomputers.
Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will assist them in building AI-accelerated data centers by leveraging GPU and DPU capabilities, ensuring optimal returns on their investment.
Lead and develop proof-of-concepts (PoCs) for solutions applied to enterprise and industrial applications such as LLM, RAG, recommender systems and image recognition using ML/DL frameworks.
Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers in building innovative NVIDIA technology solutions.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.
What We Need To See
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments,
Deep understanding of dense data-center design including compute, storage, networking, cloud APIs and IaaS.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
Comfortable working in a customer-facing environment.
Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across teams.
Ways To Stand Out From The Crowd
External customer-facing skill-set and background.
Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
Development experience with NVIDIA software libraries and GPUs or DPUs.
Knowledge of MLOps, DevOps and Cloud oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments etc.
Knowledge of MLPerf, LLM, RAG, AWS, Azure or GCP.
We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences. We are excited to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, and graphics.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Interested in developing innovative AI solutions with the world's top Retail, CPG, and QSR companies ?
At NVIDIA, our passion is working with the world's most challenging problems in Computer Vision, Accelerated Analytics and Visualization using our innovative platforms. We are looking for a Senior Solution Architect with experience in developing and performance-tuning workloads on Apache Spark Data Science platforms. We need a passionate, hard-working, and creative individual to help us pursue major opportunities in the Retail Industry. A Solution Architect brings focus and technical expertise about NVIDIA technological advances to our partners and customers.
What you’ll be doing:
You will be part of our North America Retail Solution Architecture Team working with key Fortune 100 customers to drive NVIDIA technology adoption and secure innovative design wins in both Data Center, Edge and Cloud Deployments.
Develop and demonstrate solutions to customers based on NVIDIA’s ground breaking Spark RAPIDS platform.
Perform in-depth analysis of customer SPARK workloads to ensure the optimized performance on GPU architectures.
Work closely with customers to build innovative blueprints for key Retail Industry use-cases such as forecasting, supply chain optimization, recommendation, and cybersecurity.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers and growth of NVIDIA product features through customer feedback.
What we need to see:
BS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
5+ years experience as a Data Scientist, Data Engineer, or Software Engineer with proven track record in writing code in Python
Ability to communicate your ideas/code clearly through GitHub, documentation, and presentations
Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team
Ways to stand out from the crowd:
External customer facing skill-set and background
Development experience with NVIDIA software platforms, libraries and GPUs
Experience working in commercial SPARK Platforms - Apache Spark, Databricks, Dataproc
Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc
We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. We look forward to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Logic Design Engineer with Physical Design background!
As a member of our CPU Logic Design Team, you will be responsible for the design of CPU on-chip interconnect network and last-level caches, working closely with the physical design team on implementation, synthesis and timing closure as well as working on micro-architectural definition and RTL coding/debug. This position offers you 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 platform for the future of computing.
What you'll be doing:
As a member of our core CPU team, you'll be a liaison between Logic design and Physical design teams responsible for achieving timing, area, performance and power goals of the unit.
Help define the architecture for next-generation Nvidia coherent interconnects and system-level caches.
Collaborate with our verification team to verify the correctness of the design.
What we need to see:
Master’s Degree in Electrical Engineering, Computer Engineering or Computer Science or equivalent experience.
5+ years of experience in processor or other related high-performance semiconductor designs.
Physical design expertise including hands-on synthesis experience and in-depth knowledge of industry standard physical design tools is required.
A background in high-speed interconnect/cache physical design is preferred.
Verilog expertise is required as is a deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, global team.
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. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you.
The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. NVIDIA is a leader in the AI Datacenter field, and we are constantly looking for ways to improve our GPU monitoring and management in the data center. In this position, you will be working with other world-class architects on modeling and validating chip architectures, microcontrollers, and server baseboard components. You will work with various software teams to help define and implement a simulation model that enable our data center software teams to left shift.
What you'll be doing:
Modeling of GPU and other baseboard components and features
Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models.
Familiarize with the different models functional and performance that are used at NVIDIA and help with feature implementation as required.
Develop tests, test plans, and testing infrastructure for new architectures/features.
Code coverage analysis and reporting
Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change.
Help develop AI based tools to increase efficiency.
What we need to see:
Bachelor’s degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
8+ years of meaningful work experience or MS with demonstrated ability or PhD with 2+ years of experience.
Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
Computer Architecture background with experience in modeling with SystemC & TLM preferred.
Familiarity with Synopsys VDK, Docker, Jenkins, Python, Perl
Excellent communication and interpersonal skills and ability to work in a distributed team environment.
NVIDIA’s invention of the GPU 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” 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. Do you love the challenge of crafting the highest-performance silicon GPUs and SoCs possible? If so, we want to hear from you! Come, join our Architecture Simulation and Modelling team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Senior GPU Memory Architect.
NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA’s world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.
What you will be doing:
Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
Participating in performance simulation of features to improve memory access efficiency.
Implementing and maintaining high-level functional and performance models.
Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.
Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.
Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
What we need to see:
Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.
Ways to stand out from the crowd:
Experience with hardware memory management unit, prefetching, or memory subsystems.
Practical experience with multi-core systems and memory coherency.
Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, 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 and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Senior Video Architect! 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. 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 and join our team and see how you can make a lasting impact on the world!
NVIDIA is seeking a passionate and experienced engineer for our video IP team to develop hardware architecture for video compression/processing. If you are passionate about the latest video compression research and motivated to prototype ground up algorithms and architectures with a keen focus on delivering impactful solutions, then this role will be a great fit for you!
What you will be doing:
Design, implement, optimize, and maintain video decoder / encoder functional models for video codec development.
Develop new video architecture for the hardware implementation of latest and next generation video codecs.
Analyze the performance of the proposed architecture.
Support hardware team in the RTL implementation.
Develop tests, test plans, and testing infrastructure to verify the correctness of the design.
Collaborate with software team in incorporating new functionality into the video driver.
What we need to see:
MS or higher degree in EE or CS or equivalent experience
5+ years of experience with video codecs.
Broad knowledge with video and image processing techniques and with digital video compression standards.
Strong background in developing and evaluating video encoder / decoder architecture / algorithms / functional models
Good understanding of System-On-a-Chip (SOC) architecture
Strong analytical skills and the drive to solve difficult problems.
Thorough knowledge of C, C++, and scripting languages.
Self-motivated, good communication skills, and ability to work independently with minimal direction.
Ways to stand out from the crowd:
Thorough knowledge of digital compression standards such as H265 (HEVC), H.264 (AVC), VP9, AV1
Good understanding of video encoding algorithms and encoding quality 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. Are you creative and collaborative? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Senior GPU Architect!
The NVIDIA GPU Architecture group is looking for world class architects and software developers 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. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in graphics features, graphics performance, parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators and infrastructure to design and validate these new features.
What you'll be doing:
Design new hardware features for future graphics and parallel processing architectures.
Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation.
Be knowledgeable about future parallel programming models and their impact to hardware.
Develop software for various hardware simulators, test infrastructures or metrics systems including databases.
Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures
Be hungry to learn and work on simulators, RTL and real silicon.
What we need to see:
MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience).
Strong programming ability in C, C++, Perl and Python.
Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing.
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! Come, join our Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Robotics System Architect - ROS for our Robotics Team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, research, and autonomous machines. The team is working towards bringing high performance to enable the development of the next generation of intelligent robots. NVIDIA’s ISAAC binds together high-fidelity visual and physical simulation, a high-quality development platform, key optimized algorithms, and deep learning to tackle hard problems in computer vision and artificial intelligence on a small but powerful compute platform to form the brain of intelligent machines.
What you’ll be doing:
Drive improvements of ROS 2 for hardware acceleration in collaboration with the community
Lead the design & development of software packages aimed at helping robots perceive and interact with the world
Develop, integrate, and test various systems-level components to enable robots to interact with their environment
Excellent communications skills are a must to represent NVIDIA and coordinate multiple teams
Create innovative ways to define validation scenarios and measure functionality and performance of robotics solutions
What we need to see:
BS, MS, PhD in Robotics, Computer Science, or related field (or equivalent experience)
8+ years of relevant experience
Strong communication skills & a team player
Experience working in distributed systems and embedded software
Proficient C++ and Python programming and software design skills
Ability to learn fast & debug complex system issues
Flexibility to adapt quickly to varying roles & responsibilities
Located or willing to relocate near robotics labs in HQ (Santa Clara, CA)
Ways To Stand Out from the crowd:
Expertise with ROS (middleware, ecosystem, development, debugging tools)
Impactful contribution to the ROS community
6+ years of hands-on development and field experience with production robots
Strong grasp of deep learning applications for robotics
Experience building ownership in a cross organizational, multi-disciplinary team
What We Do, NVIDIA Isaac ROS 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 are creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Senior GPU Memory Architect.
NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA’s world-changing solutions for data center, autonomous vehicles, AI, gaming, mobile systems.
What you will be doing:
Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system, Memory management, Virtualization & security optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
Participating in performance simulation of features to improve translation efficiency and access to IO protocols like PCIe.
Implementing and maintaining high-level functional and performance models.
Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
Improve techniques for data confidentiality within the GPU memory hierarchy by analyzing system security threats and protections for firmware engines within the GPU.
Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.
Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which considers software interfaces to the GPU.
Debugging performance and functional issues with high-level models, RTL simulation, silicon & systems.
What we need to see:
Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
5+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area interconnects, QoS. Memory hierarchy, Memory model & ordering, multifunction HW accelerator, software, virtualization, and security.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.
Ways to stand out from the crowd:
Experience with hardware memory management unit, prefetching.
Practical experience with multi-core systems, coherent interconnects & Industry IO protocol like PCIe/CXL, confidential compute, virtualization & security.
Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, 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 and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
NVIDIA’s CPU group is seeking for a passionate power architect to drive the CPU power optimization during the entire design cycle and ensure that silicon power meets the power target. You will be responsible for estimating CPU power from early stages of projects using different tools, optimizing power by collaborating with multiple teams, and examining and ensuring that CPU silicon power meet the pre-silicon target. We are searching for a hard-working, highly motivated engineer who has both strong technical skills as well as excellent personal skills. It will be a key role to make NVIDIA’s CPUs achieve the best performance at Watt efficiency in the industry!
What you’ll be doing:
Estimate CPU power at different levels such as C model, RTL, and netlist during design phases, identify power inefficiencies in the design, and drive the power optimization with architects, RTL designers, and physical design teams.
Measure CPU power and performance on silicon, analyze, and correlate silicon power data with pre-silicon power estimation.
Design CPU power tests such as CPU peak power test and di/dt tests
What we need to see:
BS/MS in EE, CE, or CS or equivalent experience.
5+ years of experience working in ASIC power measurement and optimization.
Solid fundamental knowledge about power including transistor-level leakage/dynamic characteristics of VLSI circuits.
Proficient with lab equipment for silicon power measurement such as DAQ. Able to analyze board level power issues.
Experience with RTL and netlist power analysis tools such as Power Artist/PTPX.
Ways to stand out from the crowd:
Strong programming skills - Python preferred.
Deep understanding of computer architecture.
Good communication skills and desire to work as a team player.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries—from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. NVIDIA recently entered the CPU server market with its Grace CPU superchip. Additionally, NVIDIA's GPUs and SOCs are world leaders in performance and efficiency and rely on CPU cores to efficiently orchestrate the system. The NVIDIA CPU architecture team builds new, innovative products tailored to cooperate with other technologies to tackle ground-breaking challenges.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
NVIDIA Ethernet Networking is looking for a Solutions Architect! As part of the NVIDIA Data Center Solutions Architecture team, you will be responsible for driving our end-to-end technology solutions with our most strategic web2.0, cloud , HPC AI and enterprise datacenter customers, as well as for identifying gaps in business technology and offering recommendations to marketing and engineering teams on our product strategy. NVIDIA Ethernet networking division is a leading supplier of innovative end-to-end Ethernet connectivity solutions and services for accelerated computing. We offer best-in-class solutions that include adapter cards, switches, cables and software to support Ethernet networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. We serve a wide range of sectors including high performance computing, enterprise, data centers, and cloud computing. We are constantly reinventing ourselves to stay ahead of the market and bring pioneering products and services to the industry.
What you'll be doing:
Providing Ethernet expertise to customers during the sales cycle to design, architect and test Ethernet networking solutions
Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
Collaborating with product management and product marketing to provide field facing feedback to influence the direction of product roadmap
Assisting in responding to RFP/RFI proposals by providing Ethernet switching expertise
Building and delivering custom-tailored product demonstrations and proof-of-concepts for solutions that address critical business needs for our customers
Working with our product and OEM teams to assist with Ethernet networking design-in for larger consolidated solutions
What we need to see:
This role is for self-motivated individual who works well with minimal direction. Candidates should have a customer-first perspective and be empowered to identify the work that best benefits the technology and customer experience:
BS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
3+ years of network/system/server engineering/administration.
A background in the following technologies is advantageous: Datacenter engineering, networking architecture, or cloud application experience
Understanding of system level issues, focusing on Linux operating system, kernel drivers, PCIe devices, and computer hardware architecture
Understanding of networking fundamentals including the TCP/IP stack, networking protocols, data center architecture
Familiarity with NetDevOps workflows including automation, infrastructure-as-code, digital simulation, continuous integration/continuous deployment, automated validation.
Familiarity with Open Network Operating System like : Cumulus Linux and/or SONiC.
Strong interpersonal skills to be able to deliver technical presentations, architectural design, and to act as a trusted advisor to customers.
Confidence in developing and delivering proofs-of-concepts.
Effective in time management and capable of prioritizing multiple demands and deadlines.
Ways to stand out from the crowd:
Combination of interpersonal skills and technical competence
Demonstrate ability to work well in a team and be accountable for results.
Understand networking fundamentals, including "life of a packet" as it traverses through a data center
Familiarity with networking digital simulations, experience with NVIDIA Air, GNS3, EVE-NG
Personal Git repository with examples of coding expertise in Python
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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now hiring a Circuit Design Engineer for Standard Cell Characterization. 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.
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 are looking to grow our company and teams with the best people in the world. We're rapidly growing our research and development for Inference. We specialize in developing GPU-accelerated Deep Learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in Deep Learning and enabling breakthroughs in numerous areas.
Work on the cutting edge processor design in deep submicron technologies, and on standard cell library design and characterization. Driving the concepts of the transistor level circuit design, modeling and performance analysis process.
Support and development of tools using Perl/Python.
We will have creative new insights to support existing tools and flows and develop new simulations to perform timing/power/noise/OCV evaluations.
Collaborate with cross function teams with regards to library issues. We will improve on our quality checks on the library work.
MS in Electrical or Computer Engineering or equivalent experience
4+ years of experience is preferred.
We are looking for strong background in deep submicron process issues.
Deep understanding of the design, verification and characterization of standard cell libraries. Deep understanding on generating timing/power/noise/OCV views of the standard cells, validation of data and QA process.
Familiar with Liberty models and its application to digital implementation and signoff flows.
Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools.
Strong proficiency in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus.
We are looking for excellent team-work, communication and analytical skills. You shall be able to learn quickly, hard-working, and are results-oriented.
Having past standard cell library or IP characterization experience 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 are creative, autonomous and love a challenge, we want to hear from you.
The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Senior Hardware Design Engineer for our Tegra group:
NVIDIA is seeking passionate Senior Hardware Design Engineers to architect, design and verify the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted an outstanding team of people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. We are a team of hardworking engineers working across the micro-architecture, design, verification, implementation, and post silicon validation of NVIDIA automotive and gaming console chips.
What you’ll be doing:
As a key member of the Design team, you will be responsible for the design and implementation of controllers/IPs for a System-on-Chip.
Build architectural trade-offs based on features, performance requirements and system limitations.
Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design.
Support post-silicon validation activities working with Silicon characterization and Software teams.
Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.
What we need to see:
Master’s Degree or equivalent experience in Electrical Engineering Computer Engineering or Computer Science
8+ years of meaningful experience
Experience in micro-architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches.
Exposure to Digital systems and VLSI design, Computer Architecture, Computer Arithmetic, CMOS transistors and circuits is required
Good understanding of ASIC design flow
Strong interpersonal skills and an excellent teammate
Ways to stand out from the crowd:
Good debugging and analytical skills
Ability to multi-task and handle context changes
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 are creative, autonomous and love a challenge, we want to hear from you.
The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
