Top Tech Jobs & Startup Jobs in Charlotte, NC

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Develop and productize NVIDIA's autonomous driving solutions focusing on camera perception, online map generation, and deep learning model innovation.

Design, build, and optimize GPU-accelerated software for AI applications focusing on deep learning inference. Collaborate on high-performance model optimization and contribute to NVIDIA libraries and frameworks.

Develop and optimize AI computer vision pipelines focusing on Vision Language Models. Collaborate on tools and improve model efficiency.

The role involves designing and maintaining infrastructure for large-scale AI systems, enhancing system efficiency, and optimizing reliability metrics.

The Senior Site Reliability Engineer (SRE) at NVIDIA is responsible for designing, building, and maintaining large-scale production systems, focusing on reliability and efficiency, automation, and continuous improvement.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.

Design and deploy machine learning techniques to enhance infrastructure efficiency, improve GPU build flow, and ensure peak performance of hardware design environments.