Top Tech Jobs & Startup Jobs in Chicago, IL

The Senior Program Manager will lead strategic initiatives in the startup ecosystem, managing multiple projects and ensuring cross-functional alignment and execution excellence, while translating strategy into actionable plans.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

As a Customer Solutions Engineer, you will support customers with deploying and optimizing GPU clusters and AI infrastructure, addressing complex technical issues and ensuring high-performance operations.

The Lead HR Ops Specialist manages HR operations, ensuring compliance, executing employee lifecycle processes, and leading projects in a high-growth environment, particularly for data center operations.

Collaborate on mechanical designs for data center systems, validating performance, overseeing construction, and ensuring designs meet quality benchmarks.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

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.