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NVIDIA is seeking a skilled Staff Software Development UC Engineer to join our IT-EPE organization and be a key member of Unified Communications and employee collaboration experience. This role will involve Software Development on conferencing systems including Microsoft Teams meeting environments and Cisco RoomOS. It also covers meeting platforms such as Teams, Zoom, Gmeet, and Slack. Employees use these daily on desktop devices, mobile apps, and in meeting rooms. The role requires confirmed Software Development with UC domain knowledge, technical proficiency in Python and Bash automation, API integrations including Microsoft Graph and PowerShell, and strong communication skills. Candidates who have operated enterprise meetings platforms, instrumented UC observability and CQD, and applied AI to full-stack development of UC products will stand out. An appropriate candidate will have an outstanding opportunity to influence a dynamic, technology-focused company that is shaping how people meet, collaborate, and work. If you demonstrate excellence and creative problem-solving, and if you like working with distributed teams, your place is with us! What you'll be doing: You will be key part of design, operations, and evolution of our Unified Communications platform, spanning Cisco Webex RoomOS and room systems, Microsoft Teams Rooms, and related collaboration services. Day to day you will keep meeting spaces reliable, integrate UC with cloud infrastructure, and improve how we observe and automate the estate. Build and maintain integrations using Microsoft Graph, PowerShell, and REST APIs so UC systems stay in sync with identity, calendaring, and IT service platforms. Build, Manage and Extend full-stack development with in UC domain, covering monitoring, admin tooling, and user-facing Products, including AI-assisted capabilities. Operate and enhance Cisco Webex RoomOS and room systems and Microsoft Teams Rooms, including provisioning, policy, firmware lifecycle, and incident response, and support the employee-facing meetings and collaboration experience across rooms, desktops, and mobile clients. Automate administrative and operational work with Java Script, Python, Bash, and generative AI tools with MCP, Inference & LLMs, so routine changes, health checks, and remediations are repeatable and auditable. Instrument UC observability through Call Quality Dashboard (CQD), user experience metrics, and dashboards that reflect what users actually experience in rooms and meetings. Partner with IT, networking, facilities, security, and product teams to troubleshoot issues across rooms, clients, cloud services (Azure and AWS), and the network path. What we need to see: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience). 6+ years of overall experience in full stack Development, Unified Communications, collaboration engineering, or a closely related Software development role. Hands-on coding with Unified Communications domain knowledge of Cisco Webex RoomOS and room systems and Microsoft Teams Rooms, plus enterprise meetings platforms used by employees such as Microsoft Teams meetings, Zoom, Gmeet & Cisco Webex. Practical software development experience supporting the employee collaboration estate: scheduling and joining meetings, hybrid room-to-desktop interoperability, calendaring, client policies, and day-to-day user experience across chat, calling, and video meetings. IT infrastructure knowledge across Azure and AWS cloud services as they apply to UC, identity, and supporting services. Working knowledge of AI models and development practices, with the ability to manage existing full-stack developed tools pertaining to UC. Demonstrated ability to automate and troubleshoot UC administrative and operational tasks using Python and Bash scripting, along with generative AI tools. Experience with API integrations, Microsoft Graph, and PowerShell. Familiarity with UC observability, CQD, and user experience metrics such as call quality, join success, reliability, and device health. This position is located in the Bay Area. Ways to stand out from the crowd: Familiarity with webcast and streaming infrastructure, including multicast distribution for large-audience live events. Understanding of Contact center deployment, Digital Signage, MDM & Visitor Management system. Basic networking knowledge, including TCP/IP, DNS, DHCP, VLANs, routing, switching, firewalls, and UC troubleshooting tools such as packet capture, call-path analysis, and device logs. AI model knowledge covering speech-to-text, text-to-speech, and speech-to-speech architectures and modules. Excellent analytical, problem-solving, and written communication skills, with a track record of cross-functional collaboration and strong operational ownership. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses. What you’ll be doing: Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities. Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work. Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows. What we need to see: 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly. BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Strong Python and JavaScript; Comfortable being responsible for an analysis end-to-end. Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk). Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills. Collaboration and communication. Ways to stand out from the crowd: TensorFlow or PyTorch Linux and HPC / large-scale or performance-sensitive environments Experience visualizing high-dimensional problems Diligent, action-biased analysis style 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! NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. Come join the team and see how you can make a lasting impact on the world. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses. What you’ll be doing: Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities. Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work. Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows. What we need to see: 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly. BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Strong Python and JavaScript; Comfortable being responsible for an analysis end-to-end. Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk). Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills. Collaboration and communication. Ways to stand out from the crowd: TensorFlow or PyTorch Linux and HPC / large-scale or performance-sensitive environments Experience visualizing high-dimensional problems Diligent, action-biased analysis style 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! NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.