Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, implement, and optimize enterprise wired, wireless, and VPN networks for the US region. Lead cross-region connectivity, manage VPN capacity and resiliency, deploy automation and monitoring, diagnose complex incidents, perform root cause analysis, evaluate new technologies, and coordinate with telecom providers to manage SLAs and escalations.

The role involves administering and improving collaboration SaaS platforms, managing integrations, ensuring security compliance, and providing user support.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

Senior ML research leader who translates state-of-the-art ML pipeline insights into product requirements, reference architectures, benchmarks, and platform roadmaps. Partners cross-functionally and with strategic customers and research institutions to set evaluation standards, reproducibility, and responsible ML practices while providing technical leadership and influencing product and executive audiences.

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.

The Commercial Legal Counsel will draft, negotiate, and manage commercial agreements, ensuring compliance with US laws and supporting business initiatives.

The Expeditor coordinates the flow of OFCI materials and information within the supply chain, ensuring timely delivery and addressing delays, while maintaining accurate records and compliance.

The Optical & IP Transport Engineer designs, deploys, and operates DWDM-based transport networks, troubleshoots issues, and develops automation for network operations.

The IR Manager will enhance investor relations strategy, support earnings preparation, develop investor messaging, analyze business trends, and build financial models while fostering relationships across teams and ensuring clear communication with investors.

Design scalable GPU clusters, optimize performance for AI/ML workloads, collaborate with engineering teams, and ensure reliability across multiple data centers.