Total 139 human resources manager job vacancies in Information Technology category in US, CA, Santa Clara

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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About JLG, an Oshkosh company

JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.

INDUSTRIAL PROGRAM MANAGER

We are looking for an experienced and motivated candidate to serve as an Industrial Program Manager overseeing our capital and capacity projects within the factories. This unique Program Manager role will be responsible for managing medium- to large-size projects to aid in the development of the capacity, capability, and strategic initiatives within the future footprint of JLG. This is a crucial role in JLG's future manufacturing strategy as we look to gain efficiencies within our product lines and manufacturing processes.

YOUR IMPACT

• Lead and participate in long range enterprise capacity and capital planning.
• Create and maintain project documentation for project planning, requirements analysis, risk management, issues management, status reporting, project communication, and quality assurance.
• Coordinate and manage internal and external resource to accomplish program objectives, including change and capital budget management.
• Plans and directs medium to large operations and major capital equipment industrialization projects to completion.
• Manages project scope, cost, timeline, integrated schedules, EVM (cost, schedule) and risk assessment.
• Accepts and delegates authority, established priorities for work delegated to others.
• Monitor product quality and process control and suggest improvements as needed.
• Coordinate communication between suppliers, customers, and team members (e.g. Engineering, Purchasing, Manufacturing, Assembly, Service, Testing, Quality Control, and Marketing departments) as needed.
• Prepare and present program status/issues to internal and external customers.
• Support know-how transfer and maturity of overall plant knowledge of technology, adoption of new technologies, and ensure factories in the regions have the best access to the latest technological thinking and possible solutions.
• Identify and coordinate all project scope change requests for approval.
• Work with contract management to meet requirements of contract.
• Participate in project proposal writing efforts.
• Use data-driven methodology to validate results.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in related field
• 4 plus years related work experience.

STANDOUT QUALIFICATIONS

• Strong verbal presentation and written communication skills
• Demonstrated ability to participate in or lead a cross-functional team.
• Capable of working in a collaborative and team focused environment; open to new ideas
• Time management, organizational and problem-solving skills.

WHY OSHKOSH

PEOPLE FIRST CULTURE

Financial Wellbeing:  Competitive Salary and Incentive plans, Health Savings Account, Flexible Spending Account, Paid Time Off, Education Reimbursement, Opportunity to Advance

Benefits: Medical and Prescription, Tobacco/Nicotine Cessation, Dental, Vision, Fertility Program, Preventive Care Incentives, Wellbeing Program, Discount Program on hundreds of brands

Oshkosh is committed to working with and offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability for any part of the recruitment process, please contact our reception desk by phone at +1 (920) 502.3009 or our talent acquisition team by email corporatetalentacquisition@oshkoshcorp.com.

Oshkosh Corporation is an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Information collected regarding categories as provided by law will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

NVIDIA's Cloud data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our data centers is the ability to engineer mechanical and electrical designs in close coupling to NVIDIA's industry-leading GPU and DGX products. We are seeking a data center HMI and Controls Intern to participate in the design, development, and optimization of HMI systems and CDUs control for data centers applications.

What you'll be doing:

• Collaborate with multi-functional team to define the requirements of HMI systems for data center applications.

• Design and develop intuitive and user-friendly HMI interfaces for optimum monitoring and controlling CDUs.

• Chip in to the development and improvement of a CDU control system for innovative and adaptive DC cooling solutions.

• Engaged with the controls engineering team to implement improvements and optimize CDU performance.

• Participate in HMI system validation, ensuring reliability, responsiveness and user-friendly system.

• Document and coordinate the process of HMI development including specifications, user manuals, and tabulate troubleshooting.

• Prepare and deliver technical presentations at reviews and team meetings.

What we need to see:

• Currently pursuing a Master’s or Doctoral degree in electrical engineering, Control Systems, or a related field.

• Familiarity with HMI development tools and control system principles.

• Knowledge working with direct-to-chip cooling technologies.

• Ability to work with various electrical, mechanical, electronic & thermal lab test equipment.

• Having software programming capability in Python, Matlab.

• Knowledge of various Coolant distribution units and other heat exchangers.

Ways to stand out from the crowd:

• Learn and apply new skills quickly.

• Strong problem-solving skills and attention to detail.

• Strong communication and partnership skills.

• Persistently drive tasks and projects to successful completion.

• Eagerness to learn and adapt to new technologies and concepts.

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 hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. ​

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking 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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA 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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is 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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA 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.

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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is 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

The base salary range is 180,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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

The base salary range is 108,000 USD - 218,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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.

The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is 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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Switch Software Architect to lead the shaping of future data centers and networks. You will lead in defining the future of our switch operating system and open-source projects. Switch Software Architects represent NVIDIA in open-source projects, conferences, and standard bodies.

What You'll Be Doing:

• Own the architecture of switch operating systems, define their long-term vision and path to get there.

• Identify and evaluate new technologies, innovations, and differentiators for NVIDIA solutions.

• Lead and guide architects to design networking and routing capabilities on NVIDIA switches.

• Outbound work includes customer engagements, publishing white papers, blogs, RFCs, and conference lectures/BOFs.

• Help define a strategic vision for NVIDIA networking together with adjacent software and hardware architects.

What We Need To See:

• B.Sc/M.Sc. Computer Engineering, Computer Science or Electrical Engineering (or equivalent experience).

• 12+ overall years of proven experience in software architecture and management roles

• 4+ years of management experience

• Expert level knowledge in Ethernet/IP technologies.

• Experience in defining cloud data-center network design.

• Proven record to stay ahead of technology envelope, dabble into new technologies to develop practical applications and generate innovative ideas.

• Clear verbal and written communication with consistent record to build consensus within a large organization

Ways To Stand Out From The Crowd:

• Demonstrated ability to develop networking appliance software.

• Experienced with data-center design and technologies.

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 272,000 USD - 471,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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 a Senior Technical Program Manager in our global IT PMO team, you will be accountable for strategic programs within the core infrastructure space ranging from Network backbone deployments, to SD-WAN to Zero Trust Network Access (ZTNA). As a leader of this initiative, you will drive creation of the business case through approvals to planning and delivery of these solutions. Within this role, you’ll be instrumental in driving maturity with NVIDIA’s Infrastructure that supports the global employee base.

What you'll be doing:

Drive program management best practices with respect to leading Infrastructure projects:

• A very deep understanding of infrastructure standards and methodologies to optimize for quality and efficiency. Experience with various continuous integration/deployment models for large organizations will be important, as well as a foresight towards how to adopt and integrate such practices into a very dynamic infrastructure environment.

• Drive program definition and development of business case and funding approval packages.

• Build, manage and execute program roadmap, stage delivery plans while managing inter and intra program level dependencies.

• Provide timely accurate program updates to various stakeholders.

• Ensure that teams and programs are run through the creation of controls that optimize delivery, minimize risk, and increase efficiency.

• Manage interaction with 3rd party vendors to track deliverables.

• Ensure continuous improvement by establishing quick feedback cycles that leverage data driven metrics to identify areas of improvement.

• Facilitate cross team, cross department initiatives, and manage complex dependencies.

What we need to see:

• Bachelor's Degree in computer science or other related technical field or equivalent experience

• 15+ Years of IT experience, 8+ years of experience successfully leading technical programs in a fast paced, multifaceted, enterprise environment with at least 5 years’ experience program managing in the IT infrastructure space

• Certified Scrum Master, PMI or equivalent preferred project management certification as a plus.

• Proven track record of continuous improvement to enable higher performing program/organizations and/or teams with improved business and customer outcomes

• Proven track record of delivering complex solutions, while navigating a fast-paced environment with frequent shift in priorities.

• Effective interpersonal and communication skills both written and verbal/presentations. Ability to bridge from high-level objectives to project details and vice-versa.

• 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, with a bias toward action and enjoy having fun, then what are you waiting for?

The base salary range is 188,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.