Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and develop perception software for NVIDIA's autonomous driving solutions, integrate components, optimize performance, and maintain documentation for robust systems.

Lead the architecture and development of platform software for NVIDIA data center products, focusing on firmware and performance requirements while collaborating with hardware teams and stakeholders.

The Senior Engineer, Performance will analyze and optimize system performance, develop metrics, collaborate on performance goals, and lead investigations into performance regressions.

Lead the architecture, design, and implementation of DGX cloud clusters. Oversee technical activities, infrastructure workflows, and ensure software integration for AI applications.

Drive adoption of NVIDIA Omniverse and AI simulation libraries, collaborating with partners on technical solutions and integration.

Develop and manage scalable AI infrastructure solutions, monitor fleet health, deliver architecture specifications, and oversee product lifecycle management with a focus on quality assurance and team collaboration.

You will develop and analyze safety requirements for NVIDIA's autonomous transportation platforms, ensuring the integration of safety goals and innovative solutions in embedded systems, through technical safety concepts and methods like FMEA and FTA.

Join NVIDIA's DGX Cloud team to enhance AI infrastructure by managing GPU resources on kubernetes, ensuring reliability, monitoring performance, and collaborating with teams.

Manage the development and implementation of NVIDIA AI Software Solutions for OEMs, ensuring successful project delivery by leading multi-functional teams and aligning with client needs.

As a Senior MLOps Engineer at NVIDIA, you'll design infrastructure for AI research, build ML pipelines, and collaborate with teams to optimize ML workflows and deployment scalability.