Top Tech Jobs & Startup Jobs

Manage strategic state and local government accounts for NVIDIA’s AI and accelerated computing solutions. Own the full technology sales cycle, develop territory and account plans, build executive and technical relationships, collaborate with solution architects and channel partners, navigate public-sector procurement, forecast revenue, and achieve sales quotas. The role requires consultative selling to government organizations and travel of at least 25%.

Develop and operate unified communications software and infrastructure across Microsoft Teams Rooms, Cisco Webex RoomOS, Zoom, Google Meet, and Slack. Build API integrations, full-stack tools, automation, observability, and AI-assisted capabilities using Python, Bash, JavaScript, PowerShell, and cloud services. Manage provisioning, policies, firmware, incident response, meeting reliability, and user experience metrics while partnering cross-functionally to troubleshoot rooms, clients, cloud services, and networks.

Manage procurement, deployment, and lifecycle of lab and data-center infrastructure. Build, configure, monitor, and troubleshoot servers, networking, virtualization, storage, and remote-management systems. Maintain runbooks, asset records, cabling, and operational processes while partnering with engineering, IT, facilities, and network teams to ensure capacity, availability, and site readiness.

Leads architecture for cloud networking, security, DPU, and NIC solutions. Designs end-to-end systems spanning applications and hardware, researches technologies, develops proof-of-concept prototypes, writes architecture specifications, and collaborates with global software, hardware, product, engineering, and customer teams. Requires strong C, Python, Linux, networking, cloud, system architecture, and software development experience, with DPDK, OVS, OVN, container, Kubernetes, and data center expertise preferred.

Leads a software engineering team developing and verifying firmware and software for NVIDIA NVLink switches and GPUs. Responsibilities include hands-on coding and debugging, feature ownership, customer technical support, system bring-up, issue investigation, offshore collaboration, and team mentoring. The role supports networking technologies for large-scale HPC data centers and requires strong Python, C, and C++ skills, with Linux and networking experience preferred.

Own global sales strategy and revenue performance for NVIDIA Cloud Partner software. Lead go-to-market planning, pipeline development, partner ecosystem growth, enterprise software engagements, forecasting, and deal acceleration. Collaborate with regional sales, account management, solutions architecture, product, marketing, strategy, and operations teams. Build relationships with cloud partners, OEMs, ISVs, and C-suite executives while presenting performance insights and recommendations to NVIDIA leadership.

Leads the optics product and technology roadmap for NVIDIA’s data center and networking platforms. Engages customers, guides architecture and development teams, evaluates technologies and ecosystem partners, manages commercial agreements and investments, and creates technical thought leadership content. The role requires deep expertise in optical interconnects, silicon photonics, networking, and high-performance data center systems, along with extensive leadership and partnership-building experience.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Architects datacenter systems for AI and high-performance computing, spanning chips, servers, networking, software, and full-scale deployments. Collaborates across engineering and operations teams to translate customer needs into product designs, evaluate performance, power, and cost tradeoffs, and guide systems from concept through production. Requires deep server architecture expertise, hardware-software integration experience, multidisciplinary leadership, and extensive datacenter systems experience.

Define and design datacenter products for AI and high-performance computing. Drive system architecture from chip to full datacenter, evaluate performance, power, and cost tradeoffs, and collaborate across silicon, software, networking, operations, and engineering teams. Translate customer needs into design inputs and guide systems from concept through large-scale production deployments.