Position Details
About this role
This role involves analyzing large-scale data workloads in datacenter environments, applying machine learning techniques, and developing performance software to optimize GPU clusters.
Key Responsibilities
- Analyze large scale workloads
- Provide insights on system design
- Apply machine learning techniques
- Develop performance software components
- Visualize high dimensional data
Technical Overview
The environment includes GPU-accelerated clusters, machine learning frameworks like TensorFlow and PyTorch, telemetry tools such as Grafana, ElasticSearch, and Splunk, with a focus on data analysis and visualization.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 4+ years of experience in data analysis, machine learning, and large-scale system design. They possess strong programming skills in Python and Javascript, with exposure to telemetry tools and deep learning frameworks, capable of deriving insights from complex datasets.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 4 years of relevant experience, Lack of experience with Python or Javascript, No exposure to telemetry tools, No understanding of machine learning techniques, No experience with data visualization tools
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile