Top Tech Jobs & Startup Jobs in Charlotte, NC

Develop and validate algorithms for behavior and motion planning in autonomous vehicles; collaborate across engineering domains; ensure safety and reliability in systems.

Build and manage NVIDIA's cloud infrastructure software. Collaborate with teams to deliver scalable solutions and maintain code quality while overseeing development to production.

Design, build, and maintain large-scale production systems for machine learning applications, ensuring reliability, scalability, and efficiency.

Design, prototype, implement, and operate SDN solutions for NVIDIA AI Clouds. Collaborate with teams and maintain automated tests.

The Senior Data Backend Engineer will design and optimize AI data pipelines, create microservices, and manage data workflows for autonomous vehicles, requiring extensive experience in scalable software systems and big data processing.

Develop and manage private and public cloud infrastructures for AI training. Focus on automation, incident response, and service-level objectives.

Develop and maintain scalable Go programs for managing large datacenters, focusing on GPU management integration and Kubernetes deployments, while ensuring high-quality products through testing and user support.

The role involves developing simulation platforms for NVIDIA DGX Servers, enhancing simulator components, and improving software performance.

Lead technical programs with Cloud Service Providers, manage data center projects, ensure timely delivery of features, and communicate status to leadership.

Architect and develop scalable release infrastructure for NVIDIA's firmware and software lifecycle, collaborating with engineering and product teams.