Top Tech Jobs & Startup Jobs in Charlotte, NC

Support and grow the RAPIDS DevOps infrastructure: manage hardware, design and maintain container/build processes, develop and publish Python packages, operate CI/CD, observability, security compliance, Linux systems, and collaborate with engineers to implement DevOps best practices.

Lead design, automation, and operation of a scalable, secure Linux platform across physical, virtual, and cloud environments. Build IaC, provisioning, patching, security hardening, and lifecycle automation. Deploy and operate cloud infrastructure, integrate hybrid environments, and collaborate with engineering teams to improve platform reliability and maintainability.

Lead planning and execution for GPU-accelerated data science and processing libraries. Drive cross-functional release and compliance programs, manage dependencies and risks, improve dev processes and tooling, build program metrics, and ensure high-quality, predictable open-source releases.

Own product marketing for NVIDIA Earth-2: define positioning and go-to-market strategy, write technically grounded content, align sales/partners/customers, create visual narratives, and coordinate across product, engineering, PR, and campaign teams to drive adoption in climate and weather communities.

Provide expert-level technical support for NVIDIA DGX compute/GPU platforms: triage and resolve hardware and software issues on multi-distro Linux, debug installations and interoperability, coordinate with engineering/marketing, create KB articles, and improve support processes. Interact directly with customers via phone/email/conference and apply AI tools for debugging and documentation.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Partner with university researchers to enable GPU-accelerated training and inference for foundation models, multimodal AI, reasoning systems, and agents. Advise on distributed training, memory/throughput optimization, reproducible workflows, and evaluation; build prototypes, translate lab feedback, and support adoption across NVIDIA platforms. Travel up to 20%.

As a Senior DFT Engineer, you'll develop DFT architecture for AI Chips, collaborating on DFT methodologies and ensuring product quality.

As a Senior GPU Architect, you'll design and implement GPU profiling features, contribute to hardware models, and work with interdisciplinary teams to improve performance insights.

Design, deploy, and operate Kubernetes-based large-scale storage and data platforms. Build automation, tooling, telemetry, and observability. Troubleshoot distributed systems, support CI/CD and IaC, participate in on-call rotations, capacity planning, and launch readiness.