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Salary analysis
Compared with the selected benchmark ("Company in London, United Kingdom"), this listing's salary midpoint is about 3% lower. The offer still falls within the benchmark range (€11,936–€22,426). The listed pay band (€15,000–€18,333) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Infrastructure Engineer | €8,673/per month | €11,325/per month | €13,976/per month |
| Company in London, United Kingdom | €11,936/per month | €17,181/per month | €22,426/per month |
Lightning AI is the company behind PyTorch Lightning. We build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Job Details
Requirements
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Strong Linux systems experience in production environments
- Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
- Familiarity with bare-metal provisioning and system bring-up workflows
- Proficiency in Python or similar scripting/programming languages for automation
- Ability to debug complex issues across hardware, OS, GPUs, and system software
Skills & Technologies
| Location | Active listings |
|---|---|
| London, United Kingdom | 1 |
| New York, United States | 1 |
| San Francisco, United States | 1 |
| Seattle, United States | 1 |
| Remote - Global | 1 |
| Role type | Active listings |
|---|---|
| Research Engineer | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 1 |
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