Top Tech Jobs & Startup Jobs in Chicago, IL

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.

Embedded with strategic customers, own end-to-end design, build, and production rollout of cloud infrastructure for large-scale GPU/HPC AI workloads. Build compute orchestration, platform services, onboarding sandboxes, and reliability/security tooling. Turn field learnings into reusable platform capabilities and partner with Product and Engineering to productize them.

The Compliance Due Diligence Specialist will conduct assessments for third parties, manage due diligence processes, and improve compliance operations.

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

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

Senior individual contributor embedded with strategic customers to design, build, and roll out Physical AI production systems. Own end-to-end workflows across data, simulation, training, evaluation, deployment, and failure loops. Integrate customer datasets and simulation/robotics tooling, codify patterns for productization, and partner with Product and Engineering. Drive rapid prototyping, field enablement artifacts, and represent Nebius at technical events.

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.

Own deal desk and quote-to-cash processes, structure complex SaaS and usage-based deals, administer and optimize GTM systems (HubSpot/SFDC, CPQ), liaison between Sales, Legal, and Finance, and drive process improvements to accelerate deal velocity and ensure compliance.

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.

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