Performance Engineer

NVIDIA Corporation is a global technology company known for its pioneering work in graphics processing units (GPUs) and AI computing. Founded in 1993, NVIDIA designs and manufactures GPUs for gaming, professional visualization, data centers, and automotive markets. The company is a leader in AI and deep learning technologies, powering advancements in autonomous vehicles, cloud computing, and high-performance computing. NVIDIA's mission is to accelerate computing innovation to solve the world's most challenging problems, making it a key player in the semiconductor and AI industries worldwide.

NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of Nvidia’s DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the cross functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop world class AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc). What you will be doing: Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services; Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both). Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice. Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud

Seeking a Performance Engineer to analyze, optimize, and model the performance of NVIDIA's DGX Cloud systems.

NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of Nvidia’s DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the cross functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop world class AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc). What you will be doing: Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services; Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both). Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice. Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX CloudRequirements:<ul><li> Currently pursuing Masters or PhD in Engineering or equivalent experience (preferably, Electrical Engineering, Computer Engineering, or Computer Science)</li><li> Experience in working with large scale parallel and distributed accelerator-based system systems</li><li> Experience optimizing performance and AI workloads on large scale systems</li><li> Background with performance modeling and benchmarking at scale</li><li> Background in Computer Architecture, Networking, Storage systems, Accelerators</li><li> Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others</li><li> Experience with AI/ML models and workloads, in particular LLMs as well as an understanding of DNNs and their use in emerging AI/ML applications and service</li><li> Proficiency in Python, C/C++</li><li> Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …)</li></ul>Benefits:<ul><li> Eligible for equity and benefits</li><li> Base salary range from $148,000 to $235,750 for Level 3, and $184,000 to $287,500 for Level 4</li><li> Salary will be determined based on location, experience, and pay of similar positions</li><li> Application deadline: December 19, 2025</li><li> NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer</li></ul>

NVIDIA Corporation

Performance Engineer Seeking a Performance Engineer to analyze, optimize, and model the performance of NVIDIA's DGX Cloud systems. NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of Nvidia’s DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the cross functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop world class AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc). What you will be doing: Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services; Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both). Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice. Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud Performance Engineer Engineer NVIDIA Corporation Semiconductors Computer Hardware Artificial Intelligence Gaming Data Center Automotive Technology Santa Clara California

This role involves developing benchmarks, analyzing performance bottlenecks, and collaborating with AI researchers to improve large-scale AI infrastructure. The candidate will work on performance modeling, system optimization, and architecture development for NVIDIA's cloud AI platform.

Senior AI Infrastructure Software Engineer

Joining NVIDIA's DGX Cloud Lepton Team means contributing to the leading cloud product that powers innovative AI research and developers. We focus on building the AI/ML platform for improving productivity, optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI infrastructure services globally. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI platforms that enable large-scale AI training, inferencing, fine-tuning, and Agentic AI in production. As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure. Develop and optimize tools to improve AI/ML workload efficiency and resiliency. Root cause and analyze and triage failures from the application level to the hardware level. Enhance infrastructure and products underpinning NVIDIA's AI platforms. Co-design and implement APIs for integration with NVIDIA's resiliency stacks on the platform. Define meaningful and actionable reliability metrics to track and improve system and service reliability. Skilled in problem-solving, root cause analysis, and optimization. What we need to see: Minimum of 12+ years of experience in developing software infrastructure for large scale AI systems. Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level. Proven track record in building and scaling large-scale distributed systems. Experience with AI training and inferencing and data infrastructure services. Familiar in Kubernetes and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). Proficiency in programming languages such as Python, C/C++, script languages. Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. Ways to stand out from the crowd: Experience in working with the large scale AI cluster and cloud-native infrastructure. Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL). Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, Dynamo, and Ray. Experience and root cause analysis of failures and datacenter scale. Strong background in software design and development. NVIDIA leads 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 amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Join NVIDIA's DGX Cloud Lepton Team to develop and optimize large-scale AI infrastructure and platforms.

Joining NVIDIA's DGX Cloud Lepton Team means contributing to the leading cloud product that powers innovative AI research and developers. We focus on building the AI/ML platform for improving productivity, optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI infrastructure services globally. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI platforms that enable large-scale AI training, inferencing, fine-tuning, and Agentic AI in production. As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure. Develop and optimize tools to improve AI/ML workload efficiency and resiliency. Root cause and analyze and triage failures from the application level to the hardware level. Enhance infrastructure and products underpinning NVIDIA's AI platforms. Co-design and implement APIs for integration with NVIDIA's resiliency stacks on the platform. Define meaningful and actionable reliability metrics to track and improve system and service reliability. Skilled in problem-solving, root cause analysis, and optimization. What we need to see: Minimum of 12+ years of experience in developing software infrastructure for large scale AI systems. Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level. Proven track record in building and scaling large-scale distributed systems. Experience with AI training and inferencing and data infrastructure services. Familiar in Kubernetes and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). Proficiency in programming languages such as Python, C/C++, script languages. Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. Ways to stand out from the crowd: Experience in working with the large scale AI cluster and cloud-native infrastructure. Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL). Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, Dynamo, and Ray. Experience and root cause analysis of failures and datacenter scale. Strong background in software design and development. NVIDIA leads 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 amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.Benefits:<ul><li> Eligibility for equity and benefits.</li><li> Work on innovative AI and infrastructure projects.</li><li> Supportive team environment that values learning and growth.</li><li> Autonomy to work on meaningful projects.</li><li> Culture of blameless postmortems, iterative improvement, and risk-taking.</li></ul>

Senior AI Infrastructure Software Engineer Join NVIDIA's DGX Cloud Lepton Team to develop and optimize large-scale AI infrastructure and platforms. Joining NVIDIA's DGX Cloud Lepton Team means contributing to the leading cloud product that powers innovative AI research and developers. We focus on building the AI/ML platform for improving productivity, optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI infrastructure services globally. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI platforms that enable large-scale AI training, inferencing, fine-tuning, and Agentic AI in production. As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure. Develop and optimize tools to improve AI/ML workload efficiency and resiliency. Root cause and analyze and triage failures from the application level to the hardware level. Enhance infrastructure and products underpinning NVIDIA's AI platforms. Co-design and implement APIs for integration with NVIDIA's resiliency stacks on the platform. Define meaningful and actionable reliability metrics to track and improve system and service reliability. Skilled in problem-solving, root cause analysis, and optimization. What we need to see: Minimum of 12+ years of experience in developing software infrastructure for large scale AI systems. Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level. Proven track record in building and scaling large-scale distributed systems. Experience with AI training and inferencing and data infrastructure services. Familiar in Kubernetes and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). Proficiency in programming languages such as Python, C/C++, script languages. Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. Ways to stand out from the crowd: Experience in working with the large scale AI cluster and cloud-native infrastructure. Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL). Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, Dynamo, and Ray. Experience and root cause analysis of failures and datacenter scale. Strong background in software design and development. NVIDIA leads 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 amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. Senior AI Infrastructure Software Engineer AI Engineer NVIDIA Corporation Semiconductors Computer Hardware Artificial Intelligence Gaming Data Center Automotive Technology Santa Clara

As a Senior AI Infrastructure Software Engineer at NVIDIA, you will design, build, and maintain AI platforms supporting large-scale AI workloads. You will work on innovative technologies powering the future of AI and contribute to a dynamic team focused on reliability, scalability, and performance.

Director, Energy Regional Industry Sales

NVIDIA is transforming the global energy sector with AI and accelerated computing, across subsurface, grid, renewables, and next-generation power generation. We are seeking an Energy Regional Industry Sales Leader to join our team to help our strategic energy customers and their ecosystems unlock the full NVIDIA platform stack across software, hardware, and cloud services. This role is pivotal in our growing enterprise business, setting sales strategy, and supporting ecosystem growth. The successful candidate will have deep industry knowledge, an extensive and relevant professional network, and the ability to lead in a fast-changing environment! What you’ll be doing: This role is focused on driving deep platform adoption and joint success. Your team will be the central orchestrator connecting energy companies, their ISVs, OEMs, GSIs, and service providers to NVIDIA platforms so they can solve their most complex engineering, operational, and planning challenges. Lead a growing team of experienced sales professionals. Support a culture focused on customer success, ecosystem engagement, and revenue growth. Identify, recruit, and retain top talent for your team and NVIDIA. Engage energy industry customers to develop a deep understanding of their goals, strategies, and technical and business needs Collaborate with an extended team of industry-specific, technical, business, and marketing resources across NVIDIA and our business partners to drive mutual success Watch for and develop emerging use cases to help cultivate new vertical opportunities Attend energy industry events to represent NVIDIA and recruit and engage the ecosystem This role is based in Houston, TX. What we need to see: Bachelor’s or master’s degree, or equivalent experience, from a leading university. 15+ overall years or significant work experience, with the energy vertical. 6+ years of sales leadership experience. Deep familiarity with the energy value chain (utilities, independent power producers, grid operators, oil and gas, renewables, or nuclear) and how technology is used in operations, planning, and engineering. Consistent overachievement against sales growth targets in a dynamic, enterprise-technology sales leadership role. Excellent communication, relationship-building, and executive presence, including comfort presenting at industry events and customer leadership briefings. Candidates must work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers. Deep knowledge of energy ecosystem and driving adoption and growth of technology-based both in the space of HPC and AI. Demonstrable understanding of Energy applications (across different sub-industries: oil and gas, utilities, etc.). Ways to stand out from the crowd: Direct experience working for an energy company (utility, IPP, oil and gas major, services firm) or in a technology role focused on the energy vertical. Hands-on exposure to AI, data science, or simulation workloads, such as grid planning, subsurface workflows, reliability analysis, or predictive maintenance. Prior experience at a cloud provider, GSI, or ISV where you drove platform or ecosystem adoption rather than only individual deals. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 288,000 USD - 437,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 5, 2025. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

NVIDIA is seeking a Director of Energy Regional Industry Sales to lead sales strategy and ecosystem growth in the energy sector.

NVIDIA is transforming the global energy sector with AI and accelerated computing, across subsurface, grid, renewables, and next-generation power generation. We are seeking an Energy Regional Industry Sales Leader to join our team to help our strategic energy customers and their ecosystems unlock the full NVIDIA platform stack across software, hardware, and cloud services. This role is pivotal in our growing enterprise business, setting sales strategy, and supporting ecosystem growth. The successful candidate will have deep industry knowledge, an extensive and relevant professional network, and the ability to lead in a fast-changing environment! What you’ll be doing: This role is focused on driving deep platform adoption and joint success. Your team will be the central orchestrator connecting energy companies, their ISVs, OEMs, GSIs, and service providers to NVIDIA platforms so they can solve their most complex engineering, operational, and planning challenges. Lead a growing team of experienced sales professionals. Support a culture focused on customer success, ecosystem engagement, and revenue growth. Identify, recruit, and retain top talent for your team and NVIDIA. Engage energy industry customers to develop a deep understanding of their goals, strategies, and technical and business needs Collaborate with an extended team of industry-specific, technical, business, and marketing resources across NVIDIA and our business partners to drive mutual success Watch for and develop emerging use cases to help cultivate new vertical opportunities Attend energy industry events to represent NVIDIA and recruit and engage the ecosystem This role is based in Houston, TX. What we need to see: Bachelor’s or master’s degree, or equivalent experience, from a leading university. 15+ overall years or significant work experience, with the energy vertical. 6+ years of sales leadership experience. Deep familiarity with the energy value chain (utilities, independent power producers, grid operators, oil and gas, renewables, or nuclear) and how technology is used in operations, planning, and engineering. Consistent overachievement against sales growth targets in a dynamic, enterprise-technology sales leadership role. Excellent communication, relationship-building, and executive presence, including comfort presenting at industry events and customer leadership briefings. Candidates must work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers. Deep knowledge of energy ecosystem and driving adoption and growth of technology-based both in the space of HPC and AI. Demonstrable understanding of Energy applications (across different sub-industries: oil and gas, utilities, etc.). Ways to stand out from the crowd: Direct experience working for an energy company (utility, IPP, oil and gas major, services firm) or in a technology role focused on the energy vertical. Hands-on exposure to AI, data science, or simulation workloads, such as grid planning, subsurface workflows, reliability analysis, or predictive maintenance. Prior experience at a cloud provider, GSI, or ISV where you drove platform or ecosystem adoption rather than only individual deals. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 288,000 USD - 437,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 5, 2025. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.Benefits:<ul><li> Eligible for equity and benefits</li><li> Base salary range of $288,000 - $437,000 USD</li><li> Application deadline: December 5, 2025</li><li> NVIDIA offers a diverse and inclusive work environment</li><li> NVIDIA is committed to equal opportunity employment</li></ul>

Director, Energy Regional Industry Sales NVIDIA is seeking a Director of Energy Regional Industry Sales to lead sales strategy and ecosystem growth in the energy sector. NVIDIA is transforming the global energy sector with AI and accelerated computing, across subsurface, grid, renewables, and next-generation power generation. We are seeking an Energy Regional Industry Sales Leader to join our team to help our strategic energy customers and their ecosystems unlock the full NVIDIA platform stack across software, hardware, and cloud services. This role is pivotal in our growing enterprise business, setting sales strategy, and supporting ecosystem growth. The successful candidate will have deep industry knowledge, an extensive and relevant professional network, and the ability to lead in a fast-changing environment! What you’ll be doing: This role is focused on driving deep platform adoption and joint success. Your team will be the central orchestrator connecting energy companies, their ISVs, OEMs, GSIs, and service providers to NVIDIA platforms so they can solve their most complex engineering, operational, and planning challenges. Lead a growing team of experienced sales professionals. Support a culture focused on customer success, ecosystem engagement, and revenue growth. Identify, recruit, and retain top talent for your team and NVIDIA. Engage energy industry customers to develop a deep understanding of their goals, strategies, and technical and business needs Collaborate with an extended team of industry-specific, technical, business, and marketing resources across NVIDIA and our business partners to drive mutual success Watch for and develop emerging use cases to help cultivate new vertical opportunities Attend energy industry events to represent NVIDIA and recruit and engage the ecosystem This role is based in Houston, TX. What we need to see: Bachelor’s or master’s degree, or equivalent experience, from a leading university. 15+ overall years or significant work experience, with the energy vertical. 6+ years of sales leadership experience. Deep familiarity with the energy value chain (utilities, independent power producers, grid operators, oil and gas, renewables, or nuclear) and how technology is used in operations, planning, and engineering. Consistent overachievement against sales growth targets in a dynamic, enterprise-technology sales leadership role. Excellent communication, relationship-building, and executive presence, including comfort presenting at industry events and customer leadership briefings. Candidates must work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers. Deep knowledge of energy ecosystem and driving adoption and growth of technology-based both in the space of HPC and AI. Demonstrable understanding of Energy applications (across different sub-industries: oil and gas, utilities, etc.). Ways to stand out from the crowd: Direct experience working for an energy company (utility, IPP, oil and gas major, services firm) or in a technology role focused on the energy vertical. Hands-on exposure to AI, data science, or simulation workloads, such as grid planning, subsurface workflows, reliability analysis, or predictive maintenance. Prior experience at a cloud provider, GSI, or ISV where you drove platform or ecosystem adoption rather than only individual deals. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 288,000 USD - 437,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 5, 2025. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. Director, Energy Regional Industry Sales Director NVIDIA Corporation Semiconductors Computer Hardware Artificial Intelligence Gaming Data Center Automotive Technology Houston Texas

This role involves driving platform adoption, managing a sales team, and engaging energy industry customers to support NVIDIA's growth in the energy vertical. The position is based in Houston, TX, and requires extensive industry and sales leadership experience.

Service Applications Developer

As a global leader in cash technology solutions, we provide the financial, retail, cash centre and gaming industries with confidence that their cash is protected and always working to help build a stronger business. Our cash automation technologies and process engineering services help businesses in more than 100 countries optimise the handling, movement and management of cash. We enhance staff efficiency, reduce operating costs and enable a more rewarding customer experience. We offer peace of mind. We enable transformation. We empower people. We do all this by releasing companies from the burden of cash management, putting cash to work, and helping our customers enhance the value that their staff and facilities add to their business. We are Glory. We secure the future. Our parent company GLORY Ltd. is headquartered in Himeji, Japan. For more information about GLORY Ltd., please visit www.corporate.glory-global.com

The Service Applications Developer will work closely with the Service Desk Manager to plan, develop and implement necessary technical content for applications managed by IT and will be responsible for technical support through to design, code and troubleshooting of applications used by Glory IT. Key to success in this role is a strong technical mindset, excellent skills, good knowledge of the software development life cycle (SDLC) and a degree of patience. As a technical expert, this role is visible to senior individuals across Glory, and the Service Applications Developer must always present themselves appropriately, demonstrating a high level of professionalism.

Main responsibilities include analyzing needs and developing IT applications, designing, testing, and building software, creating models and diagrams, performing maintenance and testing, documenting processes, managing infrastructure, implementing quality assurance, identifying system inefficiencies, executing architectural changes, and setting IT standards.

Required skills and knowledge include a degree or similar higher education, ITIL qualification, understanding of enterprise technologies, programming in JavaScript, knowledge of HTML, XML, CSS, web development tools (.NET, AJAX), experience with SaaS platforms like ServiceNow, proficiency with Microsoft Office, experience working in a team on a 24x7 shift basis, and industry-specific knowledge in manufacturing.

Key personal skills include problem-solving, attention to detail, analytical and troubleshooting skills, support orientation, ability to work under pressure, self-motivation, leadership qualities, and teamwork.

The Service Applications Developer will develop, support, and maintain IT applications, working closely with the Service Desk Manager to ensure technical excellence.

India

The Service Applications Developer will work closely with the Service Desk Manager to plan, develop and implement necessary technical content for applications managed by IT and will be responsible for technical support through to design, code and troubleshooting of applications used by Glory IT. Key to success in this role is a strong technical mindset, excellent skills, good knowledge of the software development life cycle (SDLC) and a degree of patience. As a technical expert, this role is visible to senior individuals across Glory, and the Service Applications Developer must always present themselves appropriately, demonstrating a high level of professionalism.

Main responsibilities include analyzing needs and developing IT applications, designing, testing, and building software, creating models and diagrams, performing maintenance and testing, documenting processes, managing infrastructure, implementing quality assurance, identifying system inefficiencies, executing architectural changes, and setting IT standards.

Required skills and knowledge include a degree or similar higher education, ITIL qualification, understanding of enterprise technologies, programming in JavaScript, knowledge of HTML, XML, CSS, web development tools (.NET, AJAX), experience with SaaS platforms like ServiceNow, proficiency with Microsoft Office, experience working in a team on a 24x7 shift basis, and industry-specific knowledge in manufacturing.

Key personal skills include problem-solving, attention to detail, analytical and troubleshooting skills, support orientation, ability to work under pressure, self-motivation, leadership qualities, and teamwork.Requirements:<ul><li> Degree qualified (preferred) or similar level of higher education</li><li> ITIL Qualification or similar (preferred)</li><li> Good understanding of enterprise technologies</li><li> Confident Programming ability using JavaScript</li><li> Knowledge of markup and stylish languages (HTML, XML, CSS)</li><li> Web development tools and techniques (.NET, AJAX)</li><li> Expertise on working in cloud-based software as a service (SaaS) such as ServiceNow</li><li> Competent with Microsoft Office applications</li><li> Experience working in a team on a 24x7 shift basis</li><li> Experience working for a medium-sized enterprise business</li><li> Experience working in the manufacturing industry and appropriate knowledge of related business applications</li><li> Excellent problem-solving skills</li><li> Strong foundation and / or passion for computing and IT</li><li> Possessing first class attention to detail</li><li> Exceptional analytical skills and troubleshooting abilities</li><li> Instils a commitment to provide exceptional support</li><li> Works well under pressure</li><li> Self-driven with a passion for the field and a thirst for personal development</li><li> Able to inspire individuals in the team to achieve greatness in accordance with Glory core principles</li><li> Team player; works well in a busy team and is quick to learn and able to deal with a wide range of issues</li></ul>Benefits:<ul><li> Professional development opportunities</li><li> Work in a dynamic and innovative environment</li><li> Exposure to enterprise and cloud technologies</li><li> Collaborative team culture</li><li> Opportunities for career growth</li></ul>

Glory Group

Service Applications Developer The Service Applications Developer will develop, support, and maintain IT applications, working closely with the Service Desk Manager to ensure technical excellence. The Service Applications Developer will work closely with the Service Desk Manager to plan, develop and implement necessary technical content for applications managed by IT and will be responsible for technical support through to design, code and troubleshooting of applications used by Glory IT. Key to success in this role is a strong technical mindset, excellent skills, good knowledge of the software development life cycle (SDLC) and a degree of patience. As a technical expert, this role is visible to senior individuals across Glory, and the Service Applications Developer must always present themselves appropriately, demonstrating a high level of professionalism.

Main responsibilities include analyzing needs and developing IT applications, designing, testing, and building software, creating models and diagrams, performing maintenance and testing, documenting processes, managing infrastructure, implementing quality assurance, identifying system inefficiencies, executing architectural changes, and setting IT standards.

Required skills and knowledge include a degree or similar higher education, ITIL qualification, understanding of enterprise technologies, programming in JavaScript, knowledge of HTML, XML, CSS, web development tools (.NET, AJAX), experience with SaaS platforms like ServiceNow, proficiency with Microsoft Office, experience working in a team on a 24x7 shift basis, and industry-specific knowledge in manufacturing.

Key personal skills include problem-solving, attention to detail, analytical and troubleshooting skills, support orientation, ability to work under pressure, self-motivation, leadership qualities, and teamwork. Service Applications Developer Application Engineer Glory Group information-technology-and-services banking cash-management coin-processing e-commerce finance finance-technology financial-services fintech information-technology it-consulting it-services note oem retail services teller-automation financial-institutions gaming cit-cash-centers Mumbai

This role involves designing, testing, and maintaining IT applications, providing technical support, and ensuring system efficiency. It requires a strong technical background and knowledge of software development and enterprise technologies.

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