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Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.
What you’ll be doing:
As a business system analyst (BSA) master data management (MDM) & data quality management (DQM) focused on end-to-end finance processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
Define unified data strategy that aligns with business goals and lays foundation for business process digital transformation.
Assess and document the end-to-end data flow for finance processes, including product, customer, supplier master data and the derived master data elements. Partner with business to define data taxonomy, policy, catalog, lineage and challenge the status quo. Identify data stewards and establish cross functional user councils to define and drive KPI’s to measure data quality and integrity. Build an enterprise data governance model to drive timely and effective business decision making and achieving operational excellence.
Perform data audits and report data quality metrics as part of data governance reviews.
Design and implement tools to accelerate data architecture and workflows to support evolving business processes and needs.
Support process improvements for SAP/ Non-SAP enterprise data changes by collaborating with business and technical teams. Support user acceptance testing for PLM, MDG/SAP, CRM (SFDC) enhancements and collaborate with development teams for timely issue resolution.
Support innovation and automation in MDM & DQM by collaborating with business intelligence, machine learning and artificial intelligence teams.
Influence C-level, VP level executives, business owners and IT partners to align on process transformation, data governance and MDM strategy to support company growth.
Partner with functional, technical architecture and development teams for seamlessly implementing the MDM & DQM processes and solutions.
What we need to see:
Bachelor's degree in finance and/or computer science engineering is required or equivalent experience. Advanced degree or relevant certifications is desired in data domain (data engineer preferred) and finance domain (SAP Finance or other finance degree or certification preferred)
7+ years demonstrable experience as enterprise data governance and MDM functional SME or similar role, with focus in finance domain
Experience working in SAP ERP application and understanding of cross functional business processes in Finance (Forecasting, FP&A, AP, AR, GL, AM, Tax & Credit Management, Treasury) and master data elements (product/material master, product hierarchy, profit center, cost center, account, internal order, segment reporting - operating segments/ business view, product costing, valuation areas,) and their inter dependency with demand forecasting, sales, purchasing, supply chain, marketing and engineering processes etc.
Experience in working with business to transform processes, establishing data policy & governance, and implementing enterprise level solution with experience in MDM process and tools (hands-on experience in SAP MDG/ Informatica/ Collibra is preferred). Familiarity with industry standard processes and regulatory requirements.
Excellent communication, presentation, and interpersonal skills to effectively collaborate with cross-functional teams and partners at all levels.
Analytical demeanor with the ability to interpret data, generate insights, and make data-driven decisions.
Ability to work in a fast-paced environment and adapt to changing priorities and requirements.
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 and enjoy having fun, then what are you waiting for? Apply today!
The base salary range is 128,000 USD - 253,000 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.
Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.
What you’ll be doing:
Play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
Define unified data strategy that aligns with business goals and lays foundation for business process digital transformation.
Assess and document the end-to-end data flow for Sales Operations, Forecast to Cash (includes Order to Cash (OTC)) and SW & Services processes, including product, customer, supplier master data and the derived master and enterprise data elements. Partner with business to define data taxonomy, policy, catalog, lineage and challenge the status quo. Identify data stewards and establish multi-functional user councils to define and drive KPI’s to measure data quality and integrity. Build an enterprise data governance model to drive timely and effective business decision making and achieving operational excellence.
Perform data audits and report data quality metrics as part of data governance reviews.
Design and implement tools to accelerate data architecture and workflows to support evolving business processes and needs.
Support process improvements for SAP/ Non-SAP/ SFDC enterprise data changes by collaborating with business and technical teams. Support user acceptance testing for Product Lifecycle Management (PLM), MDM, SAP Enterprise Resource Planning (ERP), SFDC Customer Relationship Management (CRM) enhancements and collaborate with development teams for timely issue resolution.
Drive innovation and automation in MDM & DQM by collaborating with business intelligence, machine learning and artificial intelligence teams.
Influence C-level, VP level executives, business owners and IT partners to align on process transformation, data governance and data strategy to support company growth.
What we need to see:
Bachelor’s degree in computer science engineering/ supply chain management or equivalent experience is required. Advanced degree or relevant certification is desired in data domain (data engineer preferred), Sales Operations, OTC and SW & Services (SAP/ SFDC/ APICS certification preferred)
12+ years as enterprise data governance and MDM functional SME or similar role, with focus in Sales Operations, Forecast to Cash (includes Order to Cash (OTC)) and SW & Services domain (hands-on experience in SAP, SFDC, or any other leading domain solution is preferred)
Partner with functional, technical architecture and development teams for seamlessly implementing the MDM & DQM processes and solutions.
Experience working in SAP & Non-SAP applications and understanding of multi-functional business processes in Sales Operations, Forecast to Cash (includes Order to Cash (OTC)) and SW & Services domain (order creation, delivery scheduling, pricing, goods issue, consolidated shipment, customer invoice, customer payments, business partners (SAP S/4), customer hierarchy, credit checks, revenue recognition, customer forecast collaboration, allocation management, order confirmation, enterprise license management, sales operations etc.) and enterprise data elements and their inter dependency with finance, sales, purchasing, marketing, planning, operations and engineering processes etc.
Experience in working with business to transform processes, establishing data policy & governance, and implementing enterprise level solution with experience in MDM & DQM processes and tools (hands-on experience in SAP MDG/ Informatica/ Collibra or similar product is helpful). Familiarity with industry standard processes and regulatory requirements.
Superb communication, presentation, and interpersonal skills to effectively collaborate with multi-functional teams and partners at all levels.
Analytical demeanor with the ability to interpret data, generate insights, and make data-driven decisions.
Ability to work in a fast-paced environment and adapt to changing priorities and requirements.
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 and enjoy having fun, then what are you waiting for? Apply today!
The base salary range is 160,000 USD - 253,000 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.
Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect Manager with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. Solution Architects are responsible for designing and building enterprise-level AI solutions using NVIDIA's ground breaking technology. We work closely with customers and partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale.
What you’ll be doing:
Work as a player coach to encourage NVIDIA technologies at key partners. Foster activities that drive revenue with partners. Grow your team by attracting and retaining top technical talent into the SAE organization.
Build a team of solution architects to drive NVIDIA solutions at our partners through…
Encouraging a “Start with a Demo” culture.
Developing NVIDIA Opinionated Partner Engagement Processes
Identify and Nurture Champions at partners
Share visibility of opportunities in flight at partners
What we need to see:
Proven experience in technical leadership roles within the technology industry.
Strong understanding of NVIDIA technologies and their applications.
Demonstrated success in developing and managing strategic partnerships.
Excellent communication and interpersonal skills.
Ability to attract, develop, and retain top technical talent.
4+ years of experience in management or leading a team.
8+ years of overall experience.
Ways to stand out from the crowd:
Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager and NEMO cloud native framework.
Willingness and ability to learn quickly and solve advanced problems.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.
What you’ll be doing:
As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
Define unified data strategy that aligns with business goals and lays foundation for business process digital transformation.
Assess and document the end-to-end data flow for Engg. & Mfg. and PLM processes, including product, customer, supplier master data and the derived master and enterprise data elements. Partner with business to define data taxonomy, policy, catalog, lineage and challenge the status quo. Identify data stewards and establish cross functional user councils to define and drive KPI’s to measure data quality and integrity. Build an enterprise data governance model to drive timely and effective business decision making and achieving operational excellence.
Perform data audits and report data quality metrics as part of data governance reviews.
Design and implement tools to accelerate data architecture and workflows to support evolving business processes and needs.
Support process improvements for PLM, SAP and Non-SAP enterprise data changes by collaborating with business and technical teams. Support user acceptance testing for Product Lifecycle Management (PLM), MDM, SAP Enterprise Resource Planning (ERP), SFDC Customer Relationship Management (CRM) enhancements and collaborate with development teams for timely issue resolution.
Drive innovation and automation in MDM & DQM by collaborating with business intelligence, machine learning and artificial intelligence teams.
Influence C-level, VP level executives, business owners and IT partners to align on process transformation, data governance and data strategy to support company growth.
Partner with functional, technical architecture and development teams for seamlessly implementing the MDM & DQM processes and solutions.
What we need to see:
Bachelor’s degree in computer science engineering/ supply chain management or equivalent experience is required. Advanced degree or relevant certification is desired in data domain (data engineer preferred), Engg. & Mfg. and PLM (certification preferred)
12+ as enterprise data governance and MDM functional SME or similar role, with focus in Engg. & Mfg. and PLM domain (hands-on experience in PTC Windchill, or any other leading domain solution is preferred)
Experience working in PLM, SAP & Non-SAP applications and understanding of cross functional business processes in Engg. & Mfg. and PLM domain (product data management (PDM), new product introduction (NPI), bill of material (BOM) management, manufacturing resource planning (MRP), supply chain management, operations engineering etc.) and enterprise data elements and their inter dependency with finance, sales, purchasing, marketing, planning, operations and engineering processes etc.
Experience in working with business to transform processes, establishing data policy & governance, and implementing enterprise level solution with experience in MDM & DQM processes and tools (hands-on experience in SAP MDG/ Informatica/ Collibra or similar product is preferred). Familiarity with industry standard processes and regulatory requirements.
Excellent communication, presentation, and interpersonal skills to effectively collaborate with cross-functional teams and partners at all levels.
Analytical demeanor with the ability to interpret data, generate insights, and make data-driven decisions.
Ability to work in a fast-paced environment and adapt to changing priorities and requirements.
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, results-oriented and enjoy having fun, then what are you waiting for? Apply today!
The base salary range is 160,000 USD - 253,000 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 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.
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 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.
We are looking for an experienced software engineer who excels solving customer problems with DGX clusters (GPU-based supercomputers interconnected with InfiniBand network fabric). The ideal candidate also has experience developing drivers for network adapters. We need someone who will bridge the gap between the NVIDIA Enterprise Experience (NVEX) support team and the product development groups. An exciting candidate is highly technical who can both triage sophisticated customer hardware and network issues as well as develop key software enhancements and tools for NVIDIA InfiniBand and GPU products.
Along with the NVEX support responsibilities, this job enables you to develop software for the same products you support. You can make a difference in both the current customer experience as well as the product's future! The individual will get to work with many NVIDIA teams and customers, so superb interpersonal and communication skills are critical. You must be able to understand, root cause, and resolve complex issues, and provide detailed explanations of what you find.
What you will be doing:
Triage customer issues involving DGX clusters (GPU-based supercomputers interconnected with network fabric), network adapters and DPUs, including both InfiniBand and Ethernet technologies
Take ownership and drive critical customer issues to resolution
Collaborate with engineering to document, recreate and solve issues
Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including InfiniBand, Ethernet, and GPU server technologies
Occasional work on weekends and holidays to support customers
What we need to see:
BS in Computer Science, Electrical Engineering, Computer Engineering, related field, or equivalent experience
10+ years of proven experience developing with C for network and/or server equipment or infrastructure
10+ years of proven experience within the customer support escalation path, or providing direct customer-facing support
Linux OS including System and Network Administration at a RHCE level
Expertise in Linux and Unix-type OSes at the kernel, driver, system, and user-space layers
Proven ability to deeply analyze/develop networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF) within drivers/network operating systems
Experience analyzing vendor interoperability problems and RFCs
Containerized solutions experience on a level of DCA and/or CKA
Excellent communication, verbal and written English skills
Ways to stand out from the crowd:
Knowledge and working experience with the following:
InfiniBand, OFED, MOFED, RDMA, ROCE and GPU Technology
Clustering or HPC Data-Center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
Additional Operating Systems such as Microsoft Windows, VMware
Expertise with shell scripting (Python/Bash)
Networking and Linux Certifications such as CCIE, JNCIE, RHCE, VCDX
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Job Description:
Pacific Life is investing in bright, agile, and diverse new talent to contribute to our mission of innovating our business and creating a superior customer experience. We’re actively seeking a talented Enterprise Architect to join our Pacific Life Technology Architecture Team in Newport Beach, CA. This role can be hybrid or fully remote.
As a Division level Enterprise Architect (Division Architect), you’ll play a key role in Pacific Life’s growth and long-term success by focusing on the development and execution of the division’s business, value stream, and product strategy for the Consumer Markets Division, and architecture for the enterprise. You will fill a new role that closely collaborates with 20+ Architects embedded in Value Stream and product delivery teams within the Consumer Markets division. Your colleagues will include Enterprise Architects, Product Architects, Business Architects, Data Architects, Business Partners, Enterprise Strategy, Innovation Enablement, and fellow technology professionals. Pacific Life have adopted Agile as our predominant development methodology and our technology professionals are measured by delivery of business outcomes.
How you will make an impact:
Supports Formulation of Strategy and Guides Execution
Builds and Maintains Relationships
Orchestrates the Delivery of Business Outcomes
Facilitates and Enables Innovation
Plans and Manages the Value Stream and Platform Portfolios and Enabling Technology Ecosystem
Qualifications you bring:
What will make you stand out:
More reasons to join:
At Pacific Life, the work we do matters. We work passionately each day to drive our company forward while enjoying job security, flexible scheduling, and great opportunities for career growth.
If you’re seeking a thriving career doing the type of meaningful work that’s all too rare at a Fortune 500 Company, Pacific Life is the place for you. If you are a self-starter who appreciates creativity and individuality in your colleagues – even better. We look forward to receiving your application.
Want to learn more about life at Pacific Life? Take an inside look at our company culture: Instagram.com/lifeatpacificlife.
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
$180,000.00 - $210,000.00
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation
EEO Statement:
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.
Official account of Jobstore.
NVIDIA is seeking to hire a senior verification architect to design verification methodology for our next generation SOCs with AI capabilities for self-driving cars, high performance computing, gaming consoles & other automated machines (see NVIDIA Grace CPU and Arm Architecture | NVIDIA)
What you'll be doing:
Understand verification challenges with current and next generation SoCs.
Design and implement new verification methodology solutions, including TB architecture, test frameworks, VIPs and other verification related flows
Design and put in practice new verification processes and criteria for end-to-end verification.
Work with architects, RTL designers, FPGA, emulation engineers and testplan owners to understand the verification requirements and cater solutions to those.
What we need to see:
12+ years of experience in ASIC DV
5 years of experience in crafting verification methodology and architecture.
Exceptional ability to learn fast and identify new problems
Familiarity with verification challenges at all levels of verification
Strong analytical skills and problem solving skills
Deep understanding of verification concepts
Experience with SOCs containing CPUs or other embedded processors
Bachelors or Master Degree in EE, CS, CE or equivalent experience
Way to stand out from the crowd:
Ability to learn fast, identify forward looking challenges, propose solutions and work with larger team to implement those.
Ambitious and highly motivated to solve problems.
With competitive salaries and a generous benefits package, NVIDIA is one of the tech's most desirable employer where one can grow a long term and satisfying career. We have some of the most forward-thinking and hardworking employees in the world driving our unprecedented growth. Are you a creative and autonomous engineer with a real passion for improving design verification efficiency and pushing barriers? If so, we want to hear from you!
The base salary range is 196,000 USD - 356,500 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 system and high-speed interconnect (HSIO) architect! NVIDIA is seeking outstanding system architects to design the next generation GPU system interface. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting the field of artificial intelligence and product lines ranging from consumer graphics to self-driving cars. 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 of tomorrow.
What you’ll be doing:
As a member of the architecture team, you will be responsible for understanding how the HSIO sub-system modules interoperate and interact with overall system
You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
Create functional and performance models, often in python (or C++), along with test plans to validate the features you design
Actively support post-silicon validation activities
Constantly learning and growing!
What we need to see:
Proven ASIC microarchitecture expertise, ideally with ASIC design, verification, and bring-up experience. The ideal candidate will be skilled in modeling ASIC blocks for performance, power, and area optimization.
BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
Knowledge of Perl or Python
At least 5+ years of meaningful work experience
Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture
Industry experience in high-speed interconnect protocols like PCIE (or similar)
Ways to stand out from the crowd:
Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML
Work experience coding in C or C++
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 want to work at the boundary of software, hardware, and forefront of technology? Would you love the challenge of crafting the highest performance chips in the industry? 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.
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.
NVIDIA is an innovative technology company dedicated to advancing camera technologies. We are at the forefront of AI and computer vision innovation, enhancing the quality of visual data for a wide range of applications including autonomous vehicles, robots, and smart cities. We are seeking creative, dedicated, and highly motivated individuals to join our team for a challenging, exciting, and rewarding experience. In this Senior ISP Architect role, you will have the opportunity to push the boundaries of camera imaging technologies for both human and machine vision systems. Join us to shape the next-generation camera imaging technology and enable a safe, smart, and fun future!
What you'll be doing:
Explore novel camera image pipeline algorithms and architectures for future ISP including deep learning methods to achieve unprecedented image quality (IQ)
Engage with new camera application areas to understand needs and constraints, and discover opportunities to innovate beyond the state of the art
Articulate problem statement on improvement areas by analyzing existing ISP technologies and facilitate development of effective solutions
Develop ISP architecture specifications, functional models, and tests by working closely with other IP architects, ASIC designers, and software teams
Represent new and existing NVIDIA ISP capabilities to internal groups, senior leaders, partners, and customers
What we need to see:
MS in Electrical Engineering, Computer Science, or a related field or equivalent experience
5+ years of meaningful experience; or equivalent qualification
Experience in developing camera imaging, machine vision, and deep learning algorithms and applications
Ability to understand system/product requirements and connect them to ISP requirements
Strong foundation in image quality assessment and algorithm complexity analysis
Proficiency in C/C++, MATLAB, Python, DL framework (TensorFlow, PyTorch, Keras)
Solid analytical and problem-solving skills, with the ability to work independently and as part of a team
Excellent communication skills for productive personal interactions as well as effective documentation and presentation
Ways to stand out from the crowd:
PhD in relevant field and ISP development experience for automotive and consumer cameras
Background in image science covering optics, image sensors, and color management
Solid understanding of HDR image sensor technologies and applications and Experience in embedded system architecture and development
Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging systems
Track record in building a culture of imaging excellence based on fundamentals and attention to detail through mentorship, teaching, and personal examples
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 Hardware SoC Architect! Do you want to be a part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects to define the next generation SoC? NVIDIA is seeking an exceptional SOC architect for our Tegra Architecture Team to help us build high-performance, power-efficient SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company developing state-of-the-art processor and system architectures that are at the forefront of accelerating machine learning, autonomous vehicles, high-performance computing and edge computing applications.
We have built 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. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.
What you’ll be doing:
Define future aspects of our architectures that bring together CPUs, NVIDIA GPUs, custom processors and accelerators into a single chip.
Hardware architecture end-to-end lifecycle ownership.
Drive Architecture/Software/Hardware co-design and collaboration on features set.
Cross-disciplinary role, coordinating with IP architects, designers, verification, Physical Design, Software, DFT, VLSI, Security, Automotive Safety and platform teams.
Capture requirements, create hardware specifications, conduct technical reviews, support customer documentation
Review upstream product requirements, downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed.
Create architectural validation plans and drive execution.
System C model development to validate architecture
Patenting novel parts of system architecture
Improving processes and methodologies that improve team productivity and quality of deliverables
What we need to see:
BS degree (or equivalent experience) in Computer or Electrical Engineering with at least 5 years of experience or MS degree in Computer or Electrical Engineering with at least 3 years of experience in architecture, design and/or verification experience
Strong knowledge and industry expertise in multiple aspects of SoC architecture definition such as Clocks, Resets, Power-Sequencing, Power Management, Interrupts, Interconnects, Boot, Virtualization, Security, System Performance, IO technologies, (PCIE, Camera Interfaces, etc), Platform integration.
Strong understanding of platform architecture considerations - power, reset, clock sequencing and I/O interfaces
Strong scripting skills in languages such as Perl or Python
Good understanding of ASIC design/verification/implementation flows
You are comfortable communicating and solving issues at all levels of architecture definition from micro-architecture to system level to software architecture.
Excellent written, verbal and negotiation skills, to work with others and build consensus
Amazing analytical and independent problem-solving skills
Ways to stand out from the crowd:
Architecture experience with platform power, reset, clock sequencing and I/O interfaces
System C or C++ development skills, or relevant programming experience
Proven record of implementing processes and methodologies
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!
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.
If you don't have a Malaysian citizenship, but are living in Malaysia or if you are planning to move to Malaysia and are looking for jobs that can sponsor you, it is up to each individual employer on how it handles international candidates. We encourage you to read our blog post to help provide more information: 7 Easy Steps to Find Jobs in Malaysia As A Foreigner.
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The period of the application process will vary, depending on the type of job you are applying for and your previous employment experience.
There are 6 position levels and each level can be associated with a salary range and different types of job titles. Jobs levels can be categorised into: non-executive, fresh/entry level, junior executive, senior executive, manager and senior manager.
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