ClearML Tech Stack

GPU cluster management and ML workflow orchestration platform

Software Development Berkeley, California 51–200 employees Founded 2022 Privately Held

ClearML operates an infrastructure layer for ML teams managing GPUs and training pipelines at scale. The stack—Python, Kubernetes, Slurm, CUDA, MongoDB—reveals a systems-level platform built for distributed compute. Hiring is heavily weighted toward engineering and senior/lead roles across Europe and North America, paired with accelerating marketing velocity; the pain-point list (scaling solutions architecture, complex enterprise pre-sales, secure deployments) suggests a shift from self-serve open-source adoption toward high-touch enterprise motion.

Tech Stack 19 technologies

Core StackPython MongoDB Elasticsearch Kubernetes AWS Docker Go Linux HubSpot GCP Azure REST API CUDA Operator SDK Slurm MPI systemd LinkedIn

What ClearML Is Building

◆Challenges

Scaling solutions architecture organization
Complex enterprise pre-sales engagements
Scaling ai infrastructure
Secure ai deployments
Consistent technical experience
Optimizing marketing technology stack
Ensuring seamless campaign execution
Pipeline impact measurement
Campaign performance optimization
Data hygiene maintenance

▲Active Projects

Clearml-agent
Kubernetes integration
Poc pipeline
Pre-sales motion
Dynamic resource allocation
Technical content flywheel
Content architecture
Conference & field marketing operations plan
Campaign management & performance support
Marketing operations & technology

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering

Marketing

Seniority

Senior

Lead

Manager

Mid

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About ClearML

ClearML is an infrastructure platform that helps organizations optimize GPU utilization, manage AI/ML workflows, and deploy generative AI models. The product serves data science and IT teams across Fortune 500 companies, public sector agencies, startups, and academia. ClearML operates a dual model: a free open-source tier and hosted/self-hosted deployments. The company is an NVIDIA partner and reports over 2,100 customers and 300,000 users globally. Engineering is anchored in Python and containerization (Kubernetes, Docker); the platform integrates with major cloud providers (AWS, GCP, Azure) and supports orchestration frameworks like Slurm and MPI for distributed training.

HeadquartersBerkeley, California

Company Size51–200 employees

Founded2022

Hiring MarketsPoland, South Africa, Netherlands, France, Germany, Italy, United States, Portugal

Frequently Asked Questions

What tech stack does ClearML use?

Python, Kubernetes, MongoDB, Elasticsearch, Docker, CUDA, Slurm, AWS, GCP, and Azure. The stack reflects a systems platform optimized for GPU-accelerated workloads and distributed ML infrastructure.

Is ClearML hiring engineers?

Yes. Engineering roles dominate the hiring mix (10 of 18 active roles), weighted toward senior and lead levels. Recent postings span Poland, South Africa, Netherlands, France, Germany, Italy, US, and Portugal.

How many customers does ClearML have?

Over 2,100 customers with 300,000 users globally, including Fortune 500 companies, public sector agencies, startups, and academic institutions. ClearML partners with NVIDIA.