Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and implement high-performance, low-power CPUs, collaborating with cross-functional teams for verification and physical design while optimizing architecture and documentation.

The role involves designing and developing GPU-accelerated Python numerical computing libraries, architecting algorithms, optimizing performance, and prototyping integrations with frameworks.

Lead a team optimizing GPU compression techniques, drive innovation in performance, mentor team members, and collaborate with stakeholders on engineering initiatives.

Design and build tools for scalable AI applications, optimize performance of deep learning models, collaborate with teams, and improve GPU performance for NVIDIA.

Design and develop simulators for NVIDIA DGX platforms, enhance components, improve performance, and collaborate with global teams.

Lead architecture and development of data center server firmware, collaborating with hardware teams, designing CI/CD frameworks, and mentoring engineers.

Develop and enhance NVIDIA's CUDA Python features, improve UX and performance, and engage with the Python community to drive adoption of NVIDIA's technology.