Top Tech Jobs & Startup Jobs

Leads global product marketing and go-to-market strategy for NVIDIA’s real-to-sim and simulation frameworks portfolio. Develops positioning, messaging, developer narratives, launch roadmaps, technical content, reference architectures, ecosystem programs, and executive communications. Partners with product, engineering, research, sales, developer relations, and external partners to drive adoption across robotics, autonomous vehicles, vision AI, and industrial applications. Requires deep technical knowledge of simulation, AI, graphics, robotics, and developer platforms, plus 12+ years of relevant experience.

Leads global technical sales, field enablement, and enterprise adoption for NVIDIA Mission Control infrastructure software. Develops sales plays, training, technical narratives, reference architectures, and deployment practices for enterprises, OEMs, and data-center operators. Coordinates cross-functional teams, manages global adoption pipelines and forecasts, supports software revenue growth, and presents customer insights and recommendations to senior leadership. Builds partner-led sales programs and translates complex software capabilities into business value for executive audiences.

Design, build, and maintain large-scale AI/ML platform and infrastructure for training, inference, fine-tuning, and Agentic AI. Develop tools, APIs, reliability metrics, and root-cause analyses across application to hardware layers while improving efficiency, resiliency, monitoring, and observability.

Analyze GPU application performance and design, implement, and integrate MLIR/LLVM compiler optimizations and passes. Collaborate with hardware, compiler, and application teams, engage with open-source LLVM community, and enable best-in-class performance for AI and HPC workloads.

Lead architecture for cloud-networking and design system architectures for DPUs and NICs. Build end-to-end solutions from application to hardware, write architecture specifications, evaluate new technologies, develop POCs, and collaborate globally with SW/HW teams and customers.

Leads NVIDIA’s US Medtech Account Managers and drives enterprise sales growth across named manufacturing accounts. Responsibilities include demand generation, forecasting, executive relationship development, channel and partner collaboration, revenue target attainment, and coordination with internal teams to address customer needs. The role focuses on selling NVIDIA hardware and software for AI and accelerated computing in healthcare and medtech markets.

Lead end-to-end global data center and WAN network deployments from architecture and design through validation, cutover, and operational handoff. Design highly available EVPN/VXLAN, BGP, SD-WAN, and multi-vendor network environments; develop automation with Python, Ansible, Salt, and APIs; troubleshoot complex routing and infrastructure issues; and coordinate cross-functional teams. Establish deployment standards, testing, telemetry, documentation, and scalable engineering workflows.

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.