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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
As part of the global IT PMO team, you will play a critical role leading and supervising programs. The role requires high-reaching objectives, develop roadmaps, collaborate with teams, including supply chain, finance, sales, and IT to ensure efficient and effective delivery and integrated planning solutions within the organization. In partnership with senior IT leaders, this role is responsible for global execution of projects, ensuring consistency and timely in line with PMO processes. Inspect and assess projects’ health; provide input for corrections needed or help raise up issues for quick resolution.
What you'll be doing:
The Program Manager is tasked with planning, execution, and successful delivery of the S/4 HANA transformation program with strong emphasis on change management.
Lead the planning, execution, and monitoring of large-scale S/4 initiatives.
Drive initiatives to optimize the supply chain, improve operational efficiency, and reduce costs by identify and enable the process to remove bottlenecks and adopt technology solutions.
Project Governance and Reporting: Establish project governance frameworks, including project charters, governance boards, and reporting mechanisms. Provide regular project updates, performance metrics, and status reports to key collaborators and senior management.
Organizational Change Leadership: Develop and implement comprehensive organizational change strategies to support the adoption of organizational changes. Lead cross-functional teams in planning, implementing, and evaluating change initiatives. Provide guidance and support to project teams to ensure alignment with organizational change standard methodologies.
Partner Engagement: Build and maintain strong relationships with key customers across the organization. Communicate effectively with partners to ensure agreement and support for change initiatives. Anticipate and address partner concerns and resistance to change in a proactive manner.
Communication and Training: Develop communication plans to keep partners informed about the purpose, benefits, and progress of change initiatives. Coordinate training and development programs to equip employees with the skills and knowledge needed to adapt to change. Create and deliver presentations and workshops to facilitate understanding and acceptance of change.
Risk Management: Identify potential risks and barriers to successful change implementation and develop mitigation strategies. Monitor and evaluate on business operations and performance. Adjust organizational change plans as needed to address emerging challenges and ensure successful outcomes.
Measurement and Evaluation: Define key performance indicators (critical metrics) to measure the effectiveness of organizational change efforts. Collect and analyze data to assess the impact of change initiatives and identify areas for improvement. Prepare regular reports and presentations to communicate progress and outcomes to senior management.
What we need to see:
Master’s or Bachelor’s degree in a relevant field (e.g., Business, Computer Science) or equivalent experience.
10+ years of experience as a Program Manager or similar role with experience in leading S/4HANA transformation and implementation projects.
Demonstrated ability driving effective organizational change for large cross functional initiatives.
Strong understanding of SAP solutions, particularly S/4HANA, and their integration with business processes
Proven in program management with a focus on organizational change, preferably in a corporate setting.
Strong understanding of organizational change principles, methodologies, and standard processes.
Project management certification (e.g., PMP) is a plus.
Experience with organizational change tools and software is preferred.
Familiarity with technology solutions and tools related to such as S/4 HANA, supply chain management software and tools.
Ways to stand out from the crowd.
Program Manager with a strong focus around organizational change on S/4 HANA implementation with supply chain management and logistics.
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 proven to be unbelievably 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. As the Senior Technical Program Manager, Infrastructure within our global IT PMO team, you will be responsible for leading IT compute infrastructure programs.
What you'll be doing:
Lead the planning, execution, and monitoring of IT compute infrastructure programs. Develop project plans, timelines, and budgets, and ensure adherence to project objectives. Coordinate project resources, lead risks, and resolve issues.
Collaborate with internal teams, external vendors, and business partners to gather requirements, address concerns, and ensure alignment with project objectives. Champion effective communication and lead collaborator expectations throughout the project lifecycle.
Effectively coordinate and lead technical discussions related to infrastructure architecture, solution approach and resource planning.
Lead global cross-functional program teams, including design, operation and partner teams to resolve technical or deployment blockers, to keep the programs on-track.
Work with collaborators to create metrics based criteria to drive program success.
Identify learning opportunities for continuous improvements.
Regularly communicate program status and key issues to collaborators and executive management.
What we need to see:
BS/MS or equivalent experience in Engineering or Computer Science
8+ years in IT (Information Technology) industry with a focus on IT infrastructure program/project management.
Strong knowledge of scalable compute infrastructure and virtualization platforms.
Strong knowledge of infrastructure systems, such as LDAP, DNS, DHCP.
Proven deep customer and technical savvy born of driving complex programs in IT infrastructure
Supreme leadership skills across broad and diverse cross-functional teams
Strong analytical and problem-solving skills
Experience leading global projects
Willingness to work with distributed team members across different time zones.
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 enjoy having fun, then what are you waiting for? Apply today!
The base salary range is 156,000 USD - 299,000 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.
Join NVIDIA IT, where we are on a mission to building and delivering world-class platforms to optimize NVIDIA's IT infrastructure operations, encompassing IT asset management, configuration management, monitoring, logging, and incident management. Our platform ecosystem combines open-source tools, vendor products, and in-house innovations, with our ultimate vision focused on achieving self-monitoring, self-healing, and self-managing autonomous IT systems. As a Software Engineer, encompassing roles such as infrastructure engineer, AIOps engineer, DevOps engineer, Network engineer, and automation engineer, you'll spearhead automation efforts, collaborate with infrastructure, ML experts, and shape the future of IT operations with AI, generative AI, and machine learning. If you are a seasoned engineer with a fervor for automation, innovation, and professional growth, we invite you to become part of our world-class teams!
What you will be doing:
Collaborating closely with a diverse team of Software Engineers, Network Engineers, Storage Engineers, Linux/Windows/VMware administrators, and Machine Learning & data science experts to develop a unified platform catering to the scaling needs of internal clients.
Designing, creating, and maintaining Python and Go-based software using contemporary automation tools such as SALT, Ansible, GitLab, etc.
Streamlining tasks and elevating infrastructure management through the implementation of best practices.
Developing AIOps platform to improve SRE and operational efficiency.
Implement monitoring and config management capabilities to manage large fleet of network devices
Crafting robust, scalable Go and Python programs.
Playing a pivotal role in harnessing AI, generative AI, and machine learning for IT operations.
Constructing advanced software services to facilitate rapid business expansion and taking ownership of the services you create.
What we need to see:
A Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or equivalent experience.
Over 3 years of industry experience in extensive engineering projects, with a particular emphasis on infrastructure automation, distributed systems, and tool development for managing data center, large-scale private or public cloud systems.
Proficiency in Python and Go programming; your coding and debugging expertise are pivotal to your success in this role.
Hands-on experience with developing and deploying ML models in production environments.
Experience with Linux and windows based server platforms and containerization.
Expertise in CI/CD techniques, GitOps, and Infrastructure as Code.
Hands-on experience with infrastructure automation tools and cloud-based deployments.
Hands on expertise in implementing software and automation solutions for some or all of IT Operations stack including asset mgt, configuration mgt, IT systems monitoring, incident mgt, and change mgt.
Ways to stand out from the crowd:
Proficiency in developing tools using a GraphQL API.
Experience in fine-tuning memory, storage, and networking settings for Linux system performance.
Comprehensive understanding of machine learning, computer networking fundamentals, DevOps practices, and experience with data pipelines using messaging bus platforms.
Experience with pre-training & fine-tuning LLM models and working on ML frameworks such as SKLearn, XGBoost, PyTorch, Tensorflow.
Expert-level automation skills and a fervor for process automation.
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 learning while having fun, then what are you waiting for? Apply today!
The base salary range is 108,000 USD - 207,000 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 is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. Join our incredible team as an IT Network Engineer, managing the IT infrastructure at our worldwide supply chain partner environments. You will collaborate with our operations and supply chain partners, product owners, and other network & security engineers as a joint team to deliver and maintain critically important IT infrastructure at our partner manufacturing sites.
What you will be doing:
Attend various business meetings to collect technical requirements, propose architecture designs, and review quotations & proposals from our vendors and partners.
Travel to factory sites in North & South America (20% ~ 30% travel) for gear setup and maintenance based on the provided network and cabling diagrams.
Collaborate with partners & vendors to deploy infrastructure and provide operational support (e.g. floor expansion / power maintenance).
Implement effective monitoring to ensure uptime and device healthiness by using appropriate infra monitoring tools. React on alarms, error conditions, and rectify faults.
Improve automation by adopting scripting language to minimize support efforts and human error.
Perform software firmware upgrades and ensure the firmware is in the latest stable version without security vulnerability.
Create and maintain operation & support documentation (e.g. runbook / playbook / asset inventory system).
What we need to see:
BS/MS degree in Computer Science or related areas, or equivalent experience.
5+ yrs of experience with general IT infrastructure on-site / remote support (network, unix/linux/windows system and data security).
Great understanding of TCP/IP protocol, DNS, DHCP and data center cabling (1G/10G/25G/40G/100G/200G).
Hands on experience with firewall and load balancer deployment, configuration and support.
Ability to detect all service-impacting issues, accurate triage, apply urgent workaround, service restoration, and post-incident follow-up.
Attentive to detail.
Ways to stand out from the crowd:
Great communicator with experience in driving vendors and partners to meet project work and deadlines.
Proven experience working effectively with people from all levels and departments of the business (technical and non-technical).
Familiar with scripting (e.g. Python / BASH) for task automation.
Experience with DHCP option82 deployment.
Experience with industrial cybersecurity and ISO 27001 best practices
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people on the planet working for us. If you are creative and autonomous, we want to hear from you!
The base salary range is 104,000 USD - 218,500 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.
Join NVIDIA IT, where we are on a mission to building and delivering world-class platforms to optimize NVIDIA's IT infrastructure operations, encompassing IT asset management, configuration management, monitoring, logging, and incident management. Our platform ecosystem combines open-source tools, vendor products, and in-house innovations, with our ultimate vision focused on achieving self-monitoring, self-healing, and self-managing autonomous IT systems. As a Senior Software Engineer, encompassing roles such as Infrastructure Engineering, AIOps engineering, DevOps Engineering, Network Engineering, and Automation Engineering, you'll spearhead automation efforts, collaborate with infrastructure, ML experts, and shape the future of IT operations with AI, generative AI, and machine learning. If you are a seasoned engineer with a fervor for automation, innovation, and professional growth, we invite you to become part of our world-class teams!
What you will be doing:
Collaborating closely with a diverse team of Software Engineers, Network Engineers, Storage Engineers, Linux/Windows/VMware administrators, and Machine Learning & data science experts to develop a unified platform catering to the scaling needs of internal clients.
Designing, creating, and maintaining Python and Go-based software using contemporary automation tools such as SALT, Ansible, GitLab, etc.
Streamlining tasks and elevating infrastructure management through the implementation of best practices.
Developing AIOps platform to improve SRE and operational efficiency.
Implement monitoring and config management capabilities to manage large fleet of network devices
Crafting robust, scalable Go and Python programs.
Playing a pivotal role in harnessing AI, generative AI, and machine learning for IT operations.
Constructing advanced software services to facilitate rapid business expansion and taking ownership of the services you create.
What we need to see:
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or equivalent experience.
8+ years of industry experience in extensive engineering projects, with a particular emphasis on infrastructure automation, distributed systems, and tool development for managing data center, large-scale private or public cloud systems.
Hands on expertise in implementing software and automation solutions for some or all of IT Operations stack including asset mgt, configuration mgt, IT systems monitoring, incident mgt, and change mgt.
Proficiency in Python and Go programming; your coding and debugging expertise are pivotal to your success in this role.
Demonstrated commitment to sound software engineering principles and a strong willingness to acquire new skills.
Hands-on experience with developing and deploying ML models in production environments.
Experience with Linux and windows based server platforms and containerization.
Expertise in CI/CD techniques, GitOps, and Infrastructure as Code.
Hands-on experience with infrastructure automation tools and cloud-based deployments.
Ways to stand out from the crowd:
Proficiency in developing tools using a GraphQL API.
Experience in fine-tuning memory, storage, and networking settings for Linux system performance.
Comprehensive understanding of machine learning, computer networking fundamentals, DevOps practices, and experience with data pipelines using messaging bus platforms.
Experience with pre-training & fine-tuning LLM models and working on ML frameworks such as SKLearn, XGBoost, PyTorch, Tensorflow.
Expert-level automation skills and a fervor for process automation.
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 learning while having fun, then what are you waiting for? Apply today!
The base salary range is 164,000 USD - 310,500 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.
Join the Enterprise AI & Automation team in NVIDIA IT to drive the development of outstanding AI-powered employee productivity solutions to improve employee experience, and business productivity. As part of this initiative, we are building generative AI-based conversational virtual assistants, copilots for enterprise applications, and other forward-looking solutions across IT and other business functions including sales, HR, and supply chain by using NVIDIA’s own technology stack. As the director of engineering you will lead the engineering team to build and deliver world-class AI-infused employee productivity tools. You will collaborate with product managers in shaping the vision, building the roadmaps, and delivering world-class products to improve the productivity of NVIDIA employees in various roles. We use NVIDIA’s own top-notch generative AI workflows, LLM models, speech recognition, avatars, and other technologies in our work. If you can envision the future of employee productivity powered by AI, join us, and make an inspiring impact!
What you will be doing:
Lead the engineering team to build world-class AI-driven employee productivity tools and automations by instituting software development discipline and agile software development methodologies.
Collaborate with product managers to shape the strategy and roadmaps. Lead the engineering team to perform requirements analysis, release iteration planning, Git/Jira issue management, CI/CD process development, software development effort estimation, performance analysis, testing, and delivering world-class scalable and reliable software.
Collaborate with other engineering leaders in the employee productivity organization to ensure that your team’s roadmaps align with the projects and technical advancements happening with the rest of the organization.
Build and grow a diverse and high performing team.
Leverage NVIDIA’s latest AI products and workflows including Large Language Models (LLMs), Retrieval augmented generation (RAG) technologies, GPU-optimized training and inference compute stack, Speech recognition, and other NVIDIA products and AI workflows in building enterprise solutions.
Collaborate with various partners in enterprise business functions in gathering requirements and in crafting and delivering generative AI-infused solutions for NVIDIA.
Drive user studies, product evaluations, and case studies and collaborate with product teams to provide valuable feedback and help improve the products.
Be a reference client for NVIDIA’s products in its own enterprise transformation.
What we need to see:
Bachelor’s degree in Computer Science (or equivalent experience). Preferably a graduate degree in Computer Science, or other related engineering fields.
10+ overall years of demonstrated experience in engineering leadership positions in building and shipping customer facing or employee facing products resulting in significant business impact.
4+ years of demonstrated hands-on engineering leadership in building AI-infused products involving Machine Learning, generative AI, traditional deep learning, and statistical machine learning techniques.
Deep expertise in computer science and an insatiable curiosity to keep learning. Ability to guide the team in making informed, well-analyzed, prudent, and practical technical decisions.
A proven track record of delivering complex, scalable, and reliable software by leading and mentoring talented cross-functional engineers.
Strong experience in building web applications and managing containerized application deployments which run in Public Clouds such as AWS.
An elevated sense of ownership and focus on driving business value. A leadership style focused on building relationships, establishing trust with diverse colleagues, executive stakeholders, and business partners.
Ability to prioritize multiple projects at once and thrive in a fast-paced environment.
Expertise in managing release workflows for large distributed applications.
Ways to stand out from the crowd:
Hands on prototyping skills in Python. Can build and deploy containerized software on Cloud.
Proven hands-on expertise and familiarity of working with LLMs, RAGs, open-source frameworks such as Lang Chain, and Langflow.
Excellent writing skills to write, and publish case studies, and papers.
Familiarity with NVIDIA’s products, GPU-optimized compute stack, familiarity with NVIDIA software strategy & products.
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 learning while having fun, then what are you waiting for? Apply today!
The base salary range is 284,000 USD - 425,500 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 looking for a software engineering manager to lead our development efforts for math libraries in the AI, HPC, and Quantum Computing (QC) domains. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies include LLMs, Computer Vision, Encryption, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?
In this role, you will lead an engineering team designing, developing, and optimizing software to accelerate various elements of the software stack. Ideal candidates will not only have experience leading software product engineering teams, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!
What you will be doing:
Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
Work closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of scientific computing, programming systems, and AI to help collect requirements for your products as well as contribute to the development of technology roadmaps.
Interact with external partners and researchers to understand their use cases and requirements.
What we need to see:
PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred or equivalent experience.
8+ years of overall experience in developing high-performance numerical software.
3+ years of experience recruiting, training and leading software engineering teams.
Strong fundamentals in numerical methods such as computational linear algebra.
Hands-on experience with object oriented design, development, testing, maintenance, and performance optimization of HPC software using C++ and Python.
Strong collaboration, communication, and documentation habits.
Experience with agile software development practices using project management tools such as JIRA.
Ways to stand out from the crowd:
Experience working in a globally distributed organization.
Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
Good knowledge of CPU and/or GPU hardware architecture.
Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow...).
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 autonomous, we want to hear from you!
The base salary range is 220,000 USD - 419,750 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.
NVIDIA is a pioneering company that revolutionized the computing world with its GPU technology, driving the growth of the PC gaming market and redefining modern computer graphics. In the present day, the advent of GPU deep learning has ushered AI into a new era of computing, positioning GPUs as the driving force behind intelligent applications in productivity, gaming, and creative fields, solidifying NVIDIA's position as the leading "AI computing company." There is a growing emphasis on processing AI computations at the edge, closer to the source of data. This approach reduces latency, enhances real-time processing, and addresses privacy concerns by minimizing the need for sending data to centralized servers. As technology continues to advance, we can expect client-side AI (local execution) to play a pivotal role in shaping the digital landscape.
The Windows AI team (WinAI) is actively seeking a Senior Technical Program Manager enthusiastic about addressing challenges associated with client-side AI on Windows PCs. This involves managing complexities related to limited compute and memory resources on the device, as well as ensuring the seamless integration and execution of inference workloads across locally available devices (such as GPUs and NPUs) and the cloud. In this role, you will play a pivotal part in steering the development of a full AI software stack, encompassing AI model customization, advancements in deep learning frameworks and inference backends like DirectML, TensorRT and the creation of hybrid platforms for orchestrating between on-device and cloud inference.
What you'll be doing:
Develop a high-level understanding of the full AI software stack on Windows including NVIDIA Deep Learning software, libraries for model customization and quantization, inference backends (like TensorRT, DirectML), and Hybrid AI platform.
Coordinate with product, software engineering, and architects to translate high-level AI strategy and go-to-market plans into tangible software development roadmap.
Drive the development of WinAI feature roadmaps, stay informed about competitive solutions, and consistently enhance our software products by introducing new optimizations, features, and improved usability.
Excellent communication skills to be able to simplify complex technical concepts and effectively setup and present them through demos, videos, and presentations. Regularly communicate program status and key issues to senior management at NVIDIA.
Implement standard processes for Software Engineering and advocate for the benefits of each improvement area across multiple business units. Proactively anticipate risks and develop appropriate risk management solutions.
Assume a leadership role with a balanced blend of technical expertise and leadership skills. Drive meetings and engage closely with WinAI engineers in architectural discussions, challenging design choices when necessary.
What we need to see:
BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience) with 8+ years of relevant experience.
Relevant work experience in a technical fast-paced program, project, or product management role. Proven experience leading global projects and readiness to work flexibly in multiple time zones.
Strong communication and effective presentation skills with a proven track record of articulating a value proposition to technical and non-technical audiences.
Experience and a good understanding of software engineering principles and quality requirements in enterprise systems environments.
Ability to multitask, quickly switch contexts, and be thorough. Experience influencing decisions and leading teams in a matrix environment.
Enthusiastic, proactive, responsive, and passionate about finding opportunities for productive change and improvement in software engineering and release management.
Ability to think strategically and tactically and to build consensus to make programs successful. Strong problem-solving skills, consistently successful in implementing systematic solutions.
Ways to stand out from the crowd:
Understanding of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI with relevant contributions to major open-source projects or frameworks on GitHub, Hugging Face will be a plus.
Consistent track record of delivering end-to-end software products with geographically distributed teams in multinational product companies.
Direct development experience with NVIDIA software, hardware, and SDKs.
Knowledge of GPU architecture, familiarity with HW/SW co-design, and performance profiling.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 156,000 USD - 247,250 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 searching for world-class leaders to join the System Software for Cuda Compute driver team. This team develops and supports NVIDIA's kernel level drivers for supporting Cuda, especially on our AI, Cloud and Data Center product line-ups. This product line-up includes full system products such as the DGX platform, modular components such as MGX and stand-alone GPU boards. At the heart of all these products is the GPU itself, driven by low level embedded processors and kernel level drivers. This is where our team lives.
We are a very dynamic team with many responsibilities. We work with sister software teams on developing features for upcoming generations of products. We work with partners on deploying new products, maintaining existing products, and developing requested improvements. We work with hardware and architecture on the future direction of existing and new features. These responsibilities evolve over time, resulting in a rich engineering experience and career. We are looking for tech leads/managers to join the team and help us deliver our products
What you'll be doing:
Lead and manage a small team of system software engineers to develop and support Compute GPU products, including kernel and embedded firmware driver development across multiple OSes
Assist with regular releases, including triage and prioritization
Establish relationships and trust through excellent execution, high quality, and exceeding expectations
Provide scheduling, resource planning, and technical task direction for assigned projects
Use your experience in systems level software, PC architecture, and hardware systems to help develop the next generation of GPU computing solutions
What we need to see:
B.S. or M.S. or equivalent in Computer Science, Computer Engineering, or Electrical Engineering or equivalent experience.
5+ overall years of "hands on" experience developing low level device drivers, especially for the Linux OS and 2+ yrs of management experience.
experience balancing multiple projects with competing priorities
Strong software engineering skills combined with a drive to solve hard problems are a must.
Strong programming skills in C and C++.
Detailed knowledge of operating system internals and various device driver models.
Strong English written and oral communication skills to interact with other engineers (worldwide)
A strong team player; self motivated and good attitude
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
NVIDIA is seeking an experienced SW project management leader to help us define, build and execute a chip through the entire silicon life cycle for use in various products (Automotive, Embedded and Mobile).
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU we also set the stage for advances in the field of robotics, computer vision and artificial intelligence.
Today NVIDIA is building a platform and solutions for Robotics and Autonomous Machines, making it a great time to join our company and this team. We are looking for a Tegra SW chip manager to help us coordinate and execute software activities for next generation SOC chip development. This critical position is part of a high-performance team which provides overall technical project management leadership for the Software organization. This position also entails driving SW teams to develop Software that meets Safety compliance per various ISO and ASPICE safety standards.
What you’ll be doing:
Lead and execute all aspects of Tegra chips SW planning and execution - coordinate the SW POR, pre-silicon development, pre-silicon SW validation, bring-up and productization.
Identify and drive all technical, logistical or resource related activities including running complex project schedules, removing roadblocks and meeting all silicon milestones.
Coordinate and drive cross team activities that require complex joint debug between SW and HW teams.
Drive the simulation and emulation POR, planning and schedule – work closely with Simulation and Emulation teams to build a prioritized plan and schedule for the project.
Ensure teams are providing all needed collaterals for the SW Product Life Cycle development process. Also drive teams to develop software for compliance to various Safety standards.
As the focal point, schedule and lead status meetings, handle communication of progress/status within/across all SW teams across multiple geographic locations
Partner closely with platform teams to define, prioritize, and execute bring-up of their custom requirements.
Act as the primary interface to Auto, Embedded and Mobile SW groups for all chips related issues and communication.
What we need to see:
Bachelors or master’s degree in computer/Electronics engineering or related field (or equivalent experience)
5+ overall years of proven experience in related areas with at least 2+ years of management experience
Deep understanding of the SW development life cycle
Proven SW Technical program management background in a matrix organization
Strong understanding of embedded systems architecture: CPU, memory, buses and interconnects, Operating Systems and device drivers
Ways to stand out from the crowd:
Proven track record in leading SW for Mobile SOCs
Experience in Pre-Silicon/Post-Silicon bring-up of complex SoC
Strong understanding of Safety standards such as ISO26262 and Experience in delivering Safety compliant software.
Experience in design and development of Kernel, System Software or drivers
Strong understanding of silicon validation and characterization process and SOC micro-architecture
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and due to outstanding growth, our best-in-class engineering teams are rapidly growing fast! If you're creative, like to lead and enjoy having fun, then what are you waiting for, apply today!
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 has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. The world of computing is constantly evolving, and we believe that data scientists and engineers should be able to seamlessly accelerate their applications and workflows. RAPIDS, the open source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python, Apache Spark, and modern C++ APIs. Today, Python is the world’s most popular programming language. It’s used for science, engineering, data analytics, deep learning, and more. We’re looking for an outstanding Technical Product Manager to help drive the development of RAPIDS in the PyData ecosystem. As a RAPIDS Product Manager, you’ll work with a community of developers, data scientists, and NVIDIA’s world-leading engineering teams to help shape the future of accelerated computing in the Python data science ecosystem.
What you’ll be doing:
Define and Prove - Bring together insight and market analysis to help shape how NVIDIA enables accelerating computing in the PyData ecosystem
Product Discovery - Understand library developers, data scientists, and engineers to discover underlying needs and incorporate them into roadmaps and priorities
Build and Deliver - Work closely with engineering to align priorities, define requirements, and execute
Sense and Respond - Engage with customers, foster strategic partnerships and integrations, present at conferences, understand product quality, and monitor critical bugs
Product Launches – Collaboratively develop and execute cross-functional go-to-market strategies spanning marketing, developer relations, PR, sales, etc.
Asset Creation – Work with engineering, marketing, and field teams to define positioning and create technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition
What we need to see:
Bachelor’s Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience
8+ years of experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role
Hands on work with data science, data engineering, or machine learning problems within the PyData world
Excellent balance of deep technical and business knowledge of the data analytics space
Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy
World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences.
Ways to stand out from the crowd:
Experience collaborating with and contributing to open-source projects in the PyData ecosystem
Served as a product manager for a Python-based product
Strong programming skills and familiarity with CUDA and GPU fundamentals
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
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.
To bring AI to life, neural networks need to be trained and deployed for inference running inside applications in the datacenter or at the edge, such as in automobiles, drones, medical devices, and more. Some of the common applications using NVIDIA Deep Learning software are LLMs, Generative AI, Recommender Systems, Conversational virtual assistants. NVIDIA is at the forefront helping advance the latest research and product improvements for everybody! To enable AI researchers and developers to keep pace with this dynamic field, we seek a technical product manager who understands the deep learning software stack and ecosystem.
TensorRT is an inference optimizer and runtime for deployment of deep learning models. As a product manager, you will build roadmaps, stay alert on competitive solutions, and continuously improve the product with new optimizations, features and enhanced usability. The Product Management organization is a small, strong, and sought after group both inside and outside of NVIDIA as our team is passionate about deep learning use cases to drive the company's strategy. We're looking for the rare blend of both technical and product skills and passion about groundbreaking technology. If this fits, we would love to learn more about you!
What You'll be Doing:
Develop product strategy and go-to-market plans
Collaborate with internal and external deep learning engineers and researchers to build product-based roadmaps for inference software
Talk and survey customers on their pain points to ensure we build delightful solutions
Help channel customer usability feedback from the external community back to the internal teams to improve NVIDIA products
You will be the evangelist and champion for MLOps developer community to promote our platform
What We Need to See:
BS or MS degree in Computer Science, Computer Engineering, or similar field or equivalent experience
5+ years of technical product management, or similar, experience at a technology company
3+ year of experience with deep learning or machine learning
Strong knowledge programming techniques, and software development
Strong communication and interpersonal skills
Ways to Stand Out from the Crowd:
Direct development experience using inference optimization software such as TensorRT, OpenVINO and ONNX Runtime
Familiarity with frameworks, such as PyTorch, JAX and TensorFlow and Deep Learning Compilers such as XLA, Inductor, TVM
Understanding of the state of the art deep learning model algorithms
Knowledge of GPU architecture, HW/SW co-design and performance profiling
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are searching for an accomplished technical leader/manager for an exciting and fun role in our GPU software organization. We deliver features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. Our compiler organization makes its mark on every GPU NVIDIA produces.
We need you to lead a team that is working on the back-end compiler for NVIDIA's GPUs, leveraging your own compiler experience to help the team succeed. This work spans a wide range of applications areas, with multiple different compilers providing the input into our back-end compiler. Each of these areas can require different strategies to meet their needs, while ensuring support of a product that targets the same GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!
What you will be doing:
Provide administrative and technical direction to a team of back-end compiler developers, including planning, scheduling and execution of projects and activities.
Understand and guide improvement for an NVIDIA proprietary parallel compiler written in C++.
Understand and guide implementation of a new LLVM-based backend compiler.
Help maintain and enhance GPU backend JIT compilers.
Collaborate closely with teams developing related components to ensure that we meet customer needs in the graphics and CUDA/C++ product areas.
Establish strong relationships and trust through excellent execution and high quality of software development.
What we need to see:
You have a minimum of 5+ overall years of experience developing production compilers and 3+ years of management experience.
Proficient in compiler design and in performance analysis tools.
BS or higher degree in Computer Science, Computer Engineering, or related field or equivalent experience.
Known for your strong interactive, verbal, and written communications skills.
Strong hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks.
Ways to stand out from the crowd:
Do you consider yourself a beacon on the hill? We think you are a beacon if join us with the following knowledge, skills, and abilities already in order:
Strong track-record of technical management experience.
Understanding of parallel programming concepts.
Knowledge of graphics concepts.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are looking to hire a System Test Engineering Manager who will work in test solutions group at NVIDIA developing manufacturing test solutions for Datacenter System products. Through your leadership, HW and SW expertise you will guide engineers to drive towards solutions that translate to processes and methodologies that have long lasting impact. As a System Test Engineering Manager you will explore the challenging areas of test, test automation and delivering high quality products to customers.
What you'll be doing:
Define manufacturing test solutions for System products translating them to methodologies and processes applicable across Datacenter and Automotive product segments.
Investigate and introduce new manufacturing test technology and methodology to enhance production efficiency.
Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
Review and provide feedback for DFT in early design stages.
Build automated diag generation and validation infrastructure.
Lead and advise a team of engineers to handle a product line.
Guide teams in resolving technical problems.
What we need to see:
8+ overall years of experience with test or validation experience Datacenter products.
4+ years of management experience or leading technical teams and projects
BS Degree in Electrical or Computer Engineering, or equivalent experience
Familiarity with manufacturing, chip to system.
Python programming and bash scripting experience.
Excellent communication and people skills
With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and system testing engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!
The base salary range is 184,000 USD - 287,500 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.
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.
We are looking for an experienced Technical Account Manager or software engineer with soft skills. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Technical Account Managers focused on the NVIDIA compute technologies, Container Orchestrators, Deep Learning containers, and other Enterprise related system software in CSP environments. We are also looking for someone who has superb interpersonal and communication skills, given you would be working closely with our customers and engineers to understand, explain and resolve issues, and collaborate with the team to build scalable software. This person will focus on NVIDIA AI Enterprise SW, a cloud-native suite of AI and data analytics software optimized for the development and deployment of AI. NVIDIA AI Enterprise is the operating system of the NVIDIA AI platform, essential for applications built with an extensive library of frameworks: NVIDIA® Riva for speech AI, NVIDIA Merlin™ for recommenders, NVIDIA Clara™ for medical imaging, and more.
What you'll be doing:
Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA AI Enterprise products
Take ownership and drive customer issues with NVIDIA AI Enterprise deployments from inception to resolution
Build upon the opportunity to research new use cases with GPUs
Bring independent analysis, communication, and problem-solving to customer experience
Collaborate with engineering to document, recreate and solve issues
Author and incorporate technical solutions into our knowledge base
What we need to see:
BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
5+ years system software development and troubleshooting experience, ideally with some customer facing
Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented
Strong computer science concepts and excellent knowledge of Python and scripting methodologies
Professional-level communication skills, interpersonal skills with a passion to solve problems
Superb interpersonal and communication skills, given you would be working closely with our customers and engineers to understand, explain and resolve issues, and collaborate with the team to deliver scalable software.
A proven grasp of datacenter and Artificial Intelligence technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge products.
Ways to stand out from the crowd:
Experience as a developer and/or support escalation team member for large enterprise/service provider customers at a company that produces AI and data analytics software
Experience developing with C and/or python
Background with developing or debugging AI and data analytics software.
We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
The base salary range is 128,000 USD - 247,250 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.
