Top Tech Jobs & Startup Jobs in Charlotte, NC

The Senior Support Engineer will diagnose and resolve complex issues, lead process improvements, mentor junior staff, and enhance operational practices in a cloud environment.

As a Technical Project Manager, you will manage a defined workstream within data center and GPU infrastructure programs, coordinating with various teams to ensure timely delivery and quality. You'll work hands-on with infrastructure elements and manage dependencies and risks effectively.

The Growth Marketing Manager will optimize onboarding, run experiments to improve conversion rates, and work closely with product teams to enhance customer activation and retention.

As a Commercial Account Executive, you will manage the full sales cycle for AI-powered applications, build relationships, generate leads, and collaborate with technical teams while contributing to refining sales strategies.

Operate as Chief of Staff/Strategic Program Manager driving Nebius' top initiatives. Align Product, Engineering, Sales, Marketing and leadership on execution plans, build operating systems (dashboards, QBRs, reviews), remove blockers, translate complex technical and business issues into executive-ready recommendations, and ensure teams deliver on product launches, GTM programs, partnerships, and organizational priorities.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

Work onsite in New York with enterprise customers to design, prototype, and deploy production-grade AI systems using Tavily's API. Build RAG pipelines, agent workflows, integrations, and POCs; drive adoption, monitor usage, and translate customer needs into product and engineering roadmap inputs.