Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads engineering enablement for large-scale AI/HPC clusters, managing a support team, training and documentation, request intake and prioritization, specialist debugging coordination, and user community development. Partners across architecture, software, firmware, networking, storage, datacenter operations, performance, and program teams. Uses service metrics and user feedback to improve workflows, self-service guidance, resource allocation, and support quality.

Investigate, assess, and remediate vulnerabilities across NVIDIA data center platforms. Responsibilities include vulnerability triage, exploitability analysis, CVSS and CWE assessment, security fixes, regression testing, dependency updates, automation, and coordinated disclosure. The role also improves secure development lifecycle practices through threat modeling, security reviews, testing, and security automation while collaborating across distributed engineering teams.

Leads engineering teams developing platform software for GPU-accelerated applications using Kubernetes, container runtimes, Kata Containers, and Confidential Containers. Responsibilities include enabling GPUs as Kubernetes resources, integrating software across NVIDIA’s technology stack, managing priorities, and delivering secure, reliable distributed systems. The role requires deep systems software expertise, engineering management experience, and hands-on knowledge of containers, Linux, cloud computing, virtualization, and confidential computing technologies.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Manage enterprise and product vulnerability remediation from intake through resolution and disclosure. Improve vulnerability management processes, prioritize security issues, coordinate with security, engineering, and IT teams, communicate status to stakeholders, draft vulnerability disclosures, and drive continuous security improvements. The role also requires staying current with industry practices, responsible disclosure, security standards, software release processes, and emerging AI infrastructure security concerns.

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%.

Leads NVIDIA Forward Deployed Engineering engagements from use-case definition through production. Sets technical direction, aligns NVIDIA, partners, and customers, manages scope, milestones, risks, agreements, data governance, and delivery. Uses AI agents to automate program operations, develops repeatable playbooks and workflows, and identifies ecosystem patterns. Requires technical understanding of LLM post-training, deployment, cloud and GPU infrastructure, plus strong multi-party stakeholder, communication, and execution skills.

Build and manage strategic relationships with R1 universities, research institutions, and government leaders. Drive adoption of NVIDIA’s accelerated computing platform across scientific research communities, identify business growth opportunities, forecast revenue, and execute go-to-market strategies. Engage principal investigators, research labs, IT teams, and internal technical groups to advance applications in AI, life sciences, climate science, engineering, and other scientific domains. Travel 25% or more as needed.

Develop and formalize methods to validate reported vulnerabilities and generate/verify safe patches for internal NVIDIA targets. Define correctness, regression, and revalidation standards; produce repeatable, auditable processes and evidence. Apply AI-assisted workflows cautiously, perform bounded applied research on vulnerability classes, and document findings for independent security review.

Build and operate security controls, telemetry, detections, and enforcement for NVIDIA’s large-scale EDA compute, storage, and networking infrastructure across on-premises and multi-cloud environments. Investigate threats, respond to incidents, automate secure configurations and compliance evidence, threat-model infrastructure, and manage security technology lifecycles. The role requires hands-on Linux, networking, programming, infrastructure security, and collaboration with infrastructure and security teams.