Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

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

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.

Design and implement graphics and real-time AI systems across GPU generations and OSes. Collaborate with game studios, define APIs, develop drivers and rendering/AI techniques, and validate next-generation graphics processors.

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.

Lead a team in developing CPU bootloader firmware for NVIDIA's ARM-based CPUs, ensuring delivery, quality, and support for distributed firmware engineers.

As a Principal Software Development Engineer, you will architect and optimize SSD platforms, lead system integration, and influence industry trends.

Lead full-flow physical implementation for LPU ASICs: synthesis, floorplanning, place & route, timing closure, UPF/LEC low-power flows, and tapeout. Collaborate with IP, front-end, PnR and sign-off teams to optimize PPA and resolve bottlenecks. Architect automated, data-driven EDA methodologies, implement scripts and AI-assisted optimizations, and ensure sign-off quality including power grid, EMIR, and DFT integration for high-speed SerDes blocks.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

The role involves deploying and managing AI Compute infrastructure in Linux environments, serving as a technical liaison between NVIDIA and customers, and providing expert support and documentation.