Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and build monitoring, telemetry, and data pipelines to operate flagship supercomputers at scale. Diagnose and troubleshoot GPU hardware, networking, datacenter and software stack issues, implement systemic mitigations, improve observability, and drive reliability and performance improvements through incident reviews and tooling.

Operate and improve large-scale HPC GPU clusters for AI model training and inference. Build observability, automation, CI/CD, and incident response tooling; lead on-call rotations, ensure security/compliance, collaborate with ML engineers, and optimize capacity and costs for production ML workloads.

Lead hardware-software co-design for datacenter-scale AI systems, analyzing real workloads to drive architecture, performance, and cost improvements; prototype and productionize optimizations across accelerators, runtimes, compilers, interconnects, and distributed training/inference; mentor engineers and influence hardware and platform roadmaps.

Design, develop, and operate monitoring and observability solutions for flagship supercomputers. Build data pipelines to process large telemetry and logs, respond to incidents, implement mitigations, write postmortems, and improve reliability, performance, and operational runbooks at scale.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Design, build, and manage low-latency, high-performance networking infrastructure for large-scale AI training in Azure. Test and validate devices and firmware, automate deployments, monitor telemetry, troubleshoot live site incidents, participate in on-call duties, and guide datacenter staff on secure hardware operations.

Design and develop high-volume, low-latency telemetry and event pipelines for Azure HPC & AI supercomputers. Analyze and improve pipeline fidelity and latency, enable diagnostics for job reliability, partner across teams to deploy end-to-end solutions, lead incident resolution, root-cause analysis, and drive engineering improvements tied to customer outcomes.

Design, implement, test, and maintain cloud-scale services and platform components for security‑critical, highly regulated environments. Collaborate with security, operations, and compliance teams, respond to incidents and on‑call rotations, apply secure‑by‑design principles, and support service reliability and operational excellence.

Design, build, and maintain reliable, high-scale multi-tenant services with emphasis on security, resilience, testability, and automation. Collaborate cross-team, participate in on-call rotation, support live services in Azure air-gapped regions, and contribute to new service buildouts and operational reliability.