Top Tech Jobs & Startup Jobs in Boston, MA

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

The Cloud Solutions Architect will design and implement cloud solutions for AI and ML, optimizing client pipelines and providing technical guidance.

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.

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

Develop and scale Nebius' ISV and AI partner ecosystem, focusing on strategic partnerships that drive customer acquisition and revenue growth. Responsible for creating frameworks for joint planning and execution, ensuring partner engagement and demand generation while representing Nebius across industry events.

Serves as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure. Responsibilities include configuring and tuning GPU environments, troubleshooting hardware, networking, operating system, and cluster issues, coordinating with internal engineering teams, translating requirements into architectures and execution plans, documenting solutions, and identifying performance and reliability improvements.

Lead mechanical engineering evaluations for data center opportunities, assessing HVAC, cooling, chiller, CRAH/CRAC, liquid cooling, and critical equipment systems. Conduct facility due diligence, validate capacity and design assumptions, evaluate vendors and deployment risks, and provide feasibility and Go/No-Go recommendations. Support mechanical design strategies, equipment selection, commissioning, and construction readiness while partnering with engineering teams, consultants, and vendors to establish scalable standards for hyperscale and AI infrastructure.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.