Today, NVIDIA is 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 are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA is transforming how the world builds and operates computing infrastructure for accelerated computing and AI. Our Network Deployment Engineering team designs and delivers the global network infrastructure supporting NVIDIA's data centers, offices, labs, and critical business services. We are looking for a Senior Network Deployment Engineer to lead complex data center and WAN deployments from architecture and design through production readiness and operational handoff. This highly technical, hands-on role combines large-scale network engineering, deployment execution, advanced troubleshooting, and infrastructure automation. The position offers the opportunity to work across modern EVPN/VXLAN fabrics, global WAN connectivity, multi-vendor networking, software-driven infrastructure, and emerging AI networking technologies. The ideal candidate combines deep networking expertise with strong execution skills and an approach focused on transforming repeatable engineering processes into scalable automation. What you'll be doing: Lead end-to-end deployment of complex global data center and WAN infrastructure, from requirements and technical design through implementation, validation, production cutover, and operational handoff. Design, build, and optimize highly available network architectures using BGP, EVPN, VXLAN, underlay/overlay routing, multi-tenancy, segmentation, SD-WAN, and IPsec technologies. Deliver large-scale, multi-vendor environments incorporating technologies such as Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, Citrix, and associated network services. Develop and expand network automation using Python, Ansible, Salt, APIs, and related frameworks to make deployments repeatable, scalable, auditable, and less dependent on manual configuration. Partner with Network Architecture, Network Operations, Security, Data Center Engineering, Facilities, compute and infrastructure teams, TPMs, and external vendors to deliver complex infrastructure programs globally. Establish rigorous deployment practices covering network standards, topology documentation, implementation procedures, configuration validation, pre/post-change testing, telemetry, and production readiness. Serve as a senior technical escalation point, applying deep routing knowledge, Linux tools, packet-level troubleshooting, telemetry, and performance analysis to resolve complex network issues. Translate lessons from production deployments into reusable engineering standards, automated workflows, design improvements, and more efficient deployment models across NVIDIA's global infrastructure. What we need to see: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field, or equivalent experience. 8+ years of progressive network engineering experience, including significant hands-on responsibility for large-scale data center, WAN, or enterprise network design and deployment. Deep technical knowledge of BGP and IP routing, along with strong understanding of EVPN/VXLAN leaf-spine or Clos/fat-tree architectures, routing policy, segmentation, and multi-tenant networking. Proven ability to independently drive complex network deployments through design, implementation, testing, migration or cutover, troubleshooting, and production acceptance. Hands-on expertise with both Arista and NVIDIA Cumulus Linux, including configuration, deployment, operations, and Linux-based network troubleshooting. Proficiency with network automation and scripting, including technologies such as Python, Ansible, Salt, REST APIs, or comparable automation frameworks. Advanced troubleshooting capabilities across routing, switching, overlays, firewalls, load balancers, and network connectivity, including packet-level analysis using tools such as Wireshark or tcpdump. Strong technical communication, organizational, and project execution skills, with demonstrated ability to coordinate cross-functional stakeholders and deliver multiple concurrent infrastructure projects. Ways to stand out from the crowd: Advanced knowledge of Palo Alto Networks firewalls, F5 or Citrix load balancing, SD-WAN, IPsec VPNs, and large-scale network segmentation architectures. Design or deployment background with AI/HPC networking, including NVIDIA Spectrum-X, RoCEv2, RDMA, lossless Ethernet, or native InfiniBand fabrics. Strong understanding of network telemetry, observability, automated validation, configuration compliance, and closed-loop infrastructure automation. Hands-on exposure to modern AI or agentic software frameworks applied to network engineering, including AI-assisted deployment, validation, troubleshooting, or infrastructure operations. Advanced networking certifications such as CCNP, CCIE, JNCIE, or equivalent demonstrated technical depth. 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. NVIDIA is widely recognized as one of the world's leading technology companies, bringing together skilled, driven people to solve complex problems at scale. This role offers the opportunity to grow design ownership, work on high-impact enterprise products, and help create thoughtful experiences alongside a collaborative team! 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 - 264,500 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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.
09/21/2026
Full time
Today, NVIDIA is 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 are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA is transforming how the world builds and operates computing infrastructure for accelerated computing and AI. Our Network Deployment Engineering team designs and delivers the global network infrastructure supporting NVIDIA's data centers, offices, labs, and critical business services. We are looking for a Senior Network Deployment Engineer to lead complex data center and WAN deployments from architecture and design through production readiness and operational handoff. This highly technical, hands-on role combines large-scale network engineering, deployment execution, advanced troubleshooting, and infrastructure automation. The position offers the opportunity to work across modern EVPN/VXLAN fabrics, global WAN connectivity, multi-vendor networking, software-driven infrastructure, and emerging AI networking technologies. The ideal candidate combines deep networking expertise with strong execution skills and an approach focused on transforming repeatable engineering processes into scalable automation. What you'll be doing: Lead end-to-end deployment of complex global data center and WAN infrastructure, from requirements and technical design through implementation, validation, production cutover, and operational handoff. Design, build, and optimize highly available network architectures using BGP, EVPN, VXLAN, underlay/overlay routing, multi-tenancy, segmentation, SD-WAN, and IPsec technologies. Deliver large-scale, multi-vendor environments incorporating technologies such as Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, Citrix, and associated network services. Develop and expand network automation using Python, Ansible, Salt, APIs, and related frameworks to make deployments repeatable, scalable, auditable, and less dependent on manual configuration. Partner with Network Architecture, Network Operations, Security, Data Center Engineering, Facilities, compute and infrastructure teams, TPMs, and external vendors to deliver complex infrastructure programs globally. Establish rigorous deployment practices covering network standards, topology documentation, implementation procedures, configuration validation, pre/post-change testing, telemetry, and production readiness. Serve as a senior technical escalation point, applying deep routing knowledge, Linux tools, packet-level troubleshooting, telemetry, and performance analysis to resolve complex network issues. Translate lessons from production deployments into reusable engineering standards, automated workflows, design improvements, and more efficient deployment models across NVIDIA's global infrastructure. What we need to see: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field, or equivalent experience. 8+ years of progressive network engineering experience, including significant hands-on responsibility for large-scale data center, WAN, or enterprise network design and deployment. Deep technical knowledge of BGP and IP routing, along with strong understanding of EVPN/VXLAN leaf-spine or Clos/fat-tree architectures, routing policy, segmentation, and multi-tenant networking. Proven ability to independently drive complex network deployments through design, implementation, testing, migration or cutover, troubleshooting, and production acceptance. Hands-on expertise with both Arista and NVIDIA Cumulus Linux, including configuration, deployment, operations, and Linux-based network troubleshooting. Proficiency with network automation and scripting, including technologies such as Python, Ansible, Salt, REST APIs, or comparable automation frameworks. Advanced troubleshooting capabilities across routing, switching, overlays, firewalls, load balancers, and network connectivity, including packet-level analysis using tools such as Wireshark or tcpdump. Strong technical communication, organizational, and project execution skills, with demonstrated ability to coordinate cross-functional stakeholders and deliver multiple concurrent infrastructure projects. Ways to stand out from the crowd: Advanced knowledge of Palo Alto Networks firewalls, F5 or Citrix load balancing, SD-WAN, IPsec VPNs, and large-scale network segmentation architectures. Design or deployment background with AI/HPC networking, including NVIDIA Spectrum-X, RoCEv2, RDMA, lossless Ethernet, or native InfiniBand fabrics. Strong understanding of network telemetry, observability, automated validation, configuration compliance, and closed-loop infrastructure automation. Hands-on exposure to modern AI or agentic software frameworks applied to network engineering, including AI-assisted deployment, validation, troubleshooting, or infrastructure operations. Advanced networking certifications such as CCNP, CCIE, JNCIE, or equivalent demonstrated technical depth. 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. NVIDIA is widely recognized as one of the world's leading technology companies, bringing together skilled, driven people to solve complex problems at scale. This role offers the opportunity to grow design ownership, work on high-impact enterprise products, and help create thoughtful experiences alongside a collaborative team! 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 - 264,500 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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 is seeking a skilled Staff UC/Software Development 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 September 20, 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.
09/21/2026
Full time
NVIDIA is seeking a skilled Staff UC/Software Development 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 September 20, 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 is seeking an experienced Software Manager to lead a team developing the NVLINK Switches and GPUs over firmware in PHY connectivity layer. In this role you will be playing a critical role in development and verification aspects in our firmware and software layers, which are critical to NVIDIA's next generation networking technologies, and enable large-scale deployment in High-Performance Computing (HPC) data centers. Are you passionate about working on innovative technologies for next gen HPC? Then we want to hear from you! What you'll be doing: Managing and leading a high impact team for development and verification processes over software and firmware layers Serving as the primary technical point of contact for strategic customers leading the investigating issues in customer setups and support new system bringup processes with our NVLINK technology Owning development of major features end-to-end Being actively hands-on (50%) in OS software coding and debugging Collaborating with off-shore teams What we need to see: Bachelors degree in Computer Science or similar technical field or equivalent experience 8+ overall years of overall technical experience; 3+ years of experience managing a team Python/C/C++ programming skills Experience leading teams in developing software/firmware, and mentoring Ability to self-teach and to learn quickly Ways to stand out from the crowd: Linux & Networking experience Working face to face with customers Master's degree or equivalent experience . Excellent social and written communication skills Building AI flows, agents, for enhancing the development efficiency With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large scale, high impact data platforms, we'd love 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 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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.
09/21/2026
Full time
NVIDIA is seeking an experienced Software Manager to lead a team developing the NVLINK Switches and GPUs over firmware in PHY connectivity layer. In this role you will be playing a critical role in development and verification aspects in our firmware and software layers, which are critical to NVIDIA's next generation networking technologies, and enable large-scale deployment in High-Performance Computing (HPC) data centers. Are you passionate about working on innovative technologies for next gen HPC? Then we want to hear from you! What you'll be doing: Managing and leading a high impact team for development and verification processes over software and firmware layers Serving as the primary technical point of contact for strategic customers leading the investigating issues in customer setups and support new system bringup processes with our NVLINK technology Owning development of major features end-to-end Being actively hands-on (50%) in OS software coding and debugging Collaborating with off-shore teams What we need to see: Bachelors degree in Computer Science or similar technical field or equivalent experience 8+ overall years of overall technical experience; 3+ years of experience managing a team Python/C/C++ programming skills Experience leading teams in developing software/firmware, and mentoring Ability to self-teach and to learn quickly Ways to stand out from the crowd: Linux & Networking experience Working face to face with customers Master's degree or equivalent experience . Excellent social and written communication skills Building AI flows, agents, for enhancing the development efficiency With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large scale, high impact data platforms, we'd love 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 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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 is looking for a Director, Optics Strategy and Partnerships, to join our networking product marketing team in Santa Clara. This position offers a great chance to influence the future of data centers and networking technology. As an essential team member, you will help develop and build our optics roadmap for scale-out and scale-up networking. A successful candidate will simplify complex, competing requirements into clear working documents and communicate the vision to both internal and external groups. A key part of this role will also be passionate about driving technology advancements and collaborations to support the roadmap. A detailed understanding of the optics and interconnect ecosystems, having extensive connections within the industry and the ability to integrate these into NVIDIA development programs is essential. Experience in preparing commercial agreements, statements of work, and backing investments into ecosystem partners to achieve roadmap objectives will complete the role. Our collaborative environment, combined with ambitious goals, will enable you to collaborate closely with our product, engineering, architecture, operations and sourcing teams to pioneer innovative solutions. What you'll be doing: Leading the optics product and technology roadmap process, across all data center and networking platforms Customer Engagement: Work directly with customers and developers to understand use cases, difficulties, and requirements, ensuring our solutions meet and exceed their expectations Providing input and mentorship to architecture and development teams for optics and interconnects across switches, NICs and compute platforms Identifying and evaluating new technologies, innovations, and partner relationships to align with our strategic technology roadmap Thought Leadership: Produce informative technical content, including blogs, white papers, webinars, and tutorials, that emphasize the value and innovation of our optics and interconnect platforms What we need to see: BS/MS/PhD in Electrical Engineering, Applied Sciences, or a related technical field (or equivalent experience) 15+ overall years of relevant industry experience, with 10 or more years in a leadership role. Proven experience and solid understanding of optical interconnects, silicon photonics, lasers, or closely related technologies, within high-performance data center settings Practical knowledge of Networking (switching & routing for Ethernet/Infiniband and/or compute fabrics), and Data Center infrastructure Demonstrated experience and skills in building partnerships, managing business contracts, statements of work, and investment justifications Ways to stand out from the crowd: Proven track record in product management or product marketing for optical transceivers, silicon photonics or co-packaged optics Direct experience working with high performance data center networking or computing platforms Background in formulating product strategies or specifying requirements related to networking or data center environments Outstanding interpersonal skills, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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.
09/21/2026
Full time
NVIDIA is looking for a Director, Optics Strategy and Partnerships, to join our networking product marketing team in Santa Clara. This position offers a great chance to influence the future of data centers and networking technology. As an essential team member, you will help develop and build our optics roadmap for scale-out and scale-up networking. A successful candidate will simplify complex, competing requirements into clear working documents and communicate the vision to both internal and external groups. A key part of this role will also be passionate about driving technology advancements and collaborations to support the roadmap. A detailed understanding of the optics and interconnect ecosystems, having extensive connections within the industry and the ability to integrate these into NVIDIA development programs is essential. Experience in preparing commercial agreements, statements of work, and backing investments into ecosystem partners to achieve roadmap objectives will complete the role. Our collaborative environment, combined with ambitious goals, will enable you to collaborate closely with our product, engineering, architecture, operations and sourcing teams to pioneer innovative solutions. What you'll be doing: Leading the optics product and technology roadmap process, across all data center and networking platforms Customer Engagement: Work directly with customers and developers to understand use cases, difficulties, and requirements, ensuring our solutions meet and exceed their expectations Providing input and mentorship to architecture and development teams for optics and interconnects across switches, NICs and compute platforms Identifying and evaluating new technologies, innovations, and partner relationships to align with our strategic technology roadmap Thought Leadership: Produce informative technical content, including blogs, white papers, webinars, and tutorials, that emphasize the value and innovation of our optics and interconnect platforms What we need to see: BS/MS/PhD in Electrical Engineering, Applied Sciences, or a related technical field (or equivalent experience) 15+ overall years of relevant industry experience, with 10 or more years in a leadership role. Proven experience and solid understanding of optical interconnects, silicon photonics, lasers, or closely related technologies, within high-performance data center settings Practical knowledge of Networking (switching & routing for Ethernet/Infiniband and/or compute fabrics), and Data Center infrastructure Demonstrated experience and skills in building partnerships, managing business contracts, statements of work, and investment justifications Ways to stand out from the crowd: Proven track record in product management or product marketing for optical transceivers, silicon photonics or co-packaged optics Direct experience working with high performance data center networking or computing platforms Background in formulating product strategies or specifying requirements related to networking or data center environments Outstanding interpersonal skills, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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's networking software runs the fabrics inside the world's largest AI systems: NVLink and InfiniBand switch management, subnet managers, in-network computing, and fabric telemetry. Our infrastructure and DevOps team owns how that software is built, tested, scanned, and released - the CI/CD pipelines, Kubernetes-based build fleets, artifact and container registries, quality and security gates, and the hardware-simulation and lab environments the product teams rely on every day. We are looking for a senior DevOps engineer who is at home on Linux, automates in Python and Bash without hesitation, and takes pipelines end to end, from a red nightly to a signed release. The work spans a dozen active repositories and three CI systems, together with a distributed team of DevOps and product engineers across the US and Israel. Every build the networking software organization ships passes through what this role owns. What you'll be doing: Design, build, and maintain CI/CD pipelines for a portfolio of networking software products across GitLab CI, Jenkins, and GitHub Actions - from merge-request gates to nightly regressions and release pipelines that package, sign, and publish Debian and RPM packages and container images. Keep pipeline signal trustworthy: make failures visible and actionable, remove failure masking, stabilize flaky lanes, and turn nightly regression results into something product teams act on. Operate and evolve the build infrastructure - Kubernetes-based CI runner fleets, container registries and artifact repositories, caching, retention policies, and access control. Integrate quality and security gates into every pipeline: code coverage, static analysis, unit and functional test lanes, secret and container scanning, dependency and vulnerability scanning - and drive findings to closure with the owning teams. Automate provisioning of hardware- and simulation-based test environments with Ansible and Python. Partner with C++ and Python developers, verification engineers, and lab and infrastructure teams to unblock builds, harden release paths, and set repository standards - branch protection, code owners, merge policies. Apply AI-assisted tooling to DevOps work - automated code review, failure-triage assistants, agent workflows - wherever it removes toil. What we need to see: Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. 5+ years in DevOps, build and release, or infrastructure engineering roles, including pipelines owned end to end. Deep, hands-on Linux skills on Ubuntu and RHEL: shell fluency, process and system debugging, package management, operating fleets of hosts, and containers with Docker. Strong automation in Python and Bash. Production track record with at least one modern CI system - GitLab CI, Jenkins pipelines, or GitHub Actions - including multi-stage pipelines for both compiled and interpreted codebases. Working knowledge of Kubernetes as a CI and infrastructure platform, plus container registries and artifact repositories. Familiarity with software quality and security tooling: coverage, static analysis, secret and vulnerability scanning. Solid grounding in computer networking fundamentals and Git-based development workflows. Ownership and clear communication - able to drive a problem across teams and time zones and to document what you build. Ways to stand out from the crowd: Building and packaging C/C++ projects with CMake and Conan, and keeping large compiled builds fast and reproducible. Familiarity with high-performance networking - InfiniBand, Ethernet fabrics, NVLink - or with switch and network-management software. Running SonarQube, Coverity, Bullseye, or container and secret scanning at scale. Practical use of AI agents and LLM tooling to automate DevOps and verification workflows. Excellent interpersonal and communication skills 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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.
09/21/2026
Full time
NVIDIA's networking software runs the fabrics inside the world's largest AI systems: NVLink and InfiniBand switch management, subnet managers, in-network computing, and fabric telemetry. Our infrastructure and DevOps team owns how that software is built, tested, scanned, and released - the CI/CD pipelines, Kubernetes-based build fleets, artifact and container registries, quality and security gates, and the hardware-simulation and lab environments the product teams rely on every day. We are looking for a senior DevOps engineer who is at home on Linux, automates in Python and Bash without hesitation, and takes pipelines end to end, from a red nightly to a signed release. The work spans a dozen active repositories and three CI systems, together with a distributed team of DevOps and product engineers across the US and Israel. Every build the networking software organization ships passes through what this role owns. What you'll be doing: Design, build, and maintain CI/CD pipelines for a portfolio of networking software products across GitLab CI, Jenkins, and GitHub Actions - from merge-request gates to nightly regressions and release pipelines that package, sign, and publish Debian and RPM packages and container images. Keep pipeline signal trustworthy: make failures visible and actionable, remove failure masking, stabilize flaky lanes, and turn nightly regression results into something product teams act on. Operate and evolve the build infrastructure - Kubernetes-based CI runner fleets, container registries and artifact repositories, caching, retention policies, and access control. Integrate quality and security gates into every pipeline: code coverage, static analysis, unit and functional test lanes, secret and container scanning, dependency and vulnerability scanning - and drive findings to closure with the owning teams. Automate provisioning of hardware- and simulation-based test environments with Ansible and Python. Partner with C++ and Python developers, verification engineers, and lab and infrastructure teams to unblock builds, harden release paths, and set repository standards - branch protection, code owners, merge policies. Apply AI-assisted tooling to DevOps work - automated code review, failure-triage assistants, agent workflows - wherever it removes toil. What we need to see: Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. 5+ years in DevOps, build and release, or infrastructure engineering roles, including pipelines owned end to end. Deep, hands-on Linux skills on Ubuntu and RHEL: shell fluency, process and system debugging, package management, operating fleets of hosts, and containers with Docker. Strong automation in Python and Bash. Production track record with at least one modern CI system - GitLab CI, Jenkins pipelines, or GitHub Actions - including multi-stage pipelines for both compiled and interpreted codebases. Working knowledge of Kubernetes as a CI and infrastructure platform, plus container registries and artifact repositories. Familiarity with software quality and security tooling: coverage, static analysis, secret and vulnerability scanning. Solid grounding in computer networking fundamentals and Git-based development workflows. Ownership and clear communication - able to drive a problem across teams and time zones and to document what you build. Ways to stand out from the crowd: Building and packaging C/C++ projects with CMake and Conan, and keeping large compiled builds fast and reproducible. Familiarity with high-performance networking - InfiniBand, Ethernet fabrics, NVLink - or with switch and network-management software. Running SonarQube, Coverity, Bullseye, or container and secret scanning at scale. Practical use of AI agents and LLM tooling to automate DevOps and verification workflows. Excellent interpersonal and communication skills 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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.
