Data Engineer
Confirmed live in the last 24 hours
Cerebras

201-500 employees

Develops large-scale chips to accelerate AI computing
Company Overview
Cerebras Systems stands out as a leader in the AI industry, boasting the CS-2, the fastest AI computer currently available, powered by the largest chip ever built, the WSE-2, which contains 2.6 trillion transistors. This technological prowess allows for unprecedented speed in processing information, reducing the training time for neural networks from months to mere minutes. The company's culture is a fusion of pioneering computer architects, scientists, deep learning researchers, and business experts, all collaborating to push the boundaries of AI technology, as evidenced by partnerships with companies like TotalEnergies to enhance their research capabilities.
AI & Machine Learning
Hardware

Company Stage

Series F

Total Funding

$720M

Founded

2016

Headquarters

Sunnyvale, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

-8%

2 year growth

-9%
Locations
Sunnyvale, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Python
Airflow
MySQL
Jupyter
SQL
Postgres
AWS
Pandas
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Bachelor's degree in computer science, mathematics, or related field.
  • 2+ years of backend engineering experience, including advanced database operations with SQL.
  • 2+ years of software development experience with Python, including agile development practices (e.g. issue lifecycle management, change control, code review).
  • Experience with a variety of technologies and ability to pick the right tool for the job.
  • Ability to communicate and collaborate with cross-functional partners on data processing and analysis projects.
  • Ability to bring thoughtful perspectives, creativity, and a positive attitude to solve problems at scale.
Responsibilities
  • Develop and maintain highly reliable data processing pipelines using Python, SQL, and various technology platforms such as Airflow and the ELK stack.
  • Manage, analyze, and serve ever-increasing volumes of high-quality data using backend databases such as PostgreSQL and MySQL and frontend tools such as Grafana, Jupyter, and Redash.
  • Continuously improve the efficiency and effectiveness of Cerebras hardware manufacturing by taking ownership of data from end to end.
  • Partner with hardware and system engineers to translate data insights into effective decision making while identifying opportunities for automation.
  • Continually evaluate team processes to maintain an efficient and performant data-driven engineering culture.
Desired Qualifications
  • Advanced degree in computer science, mathematics, or related field.
  • Experience with cloud computing services such as AWS or Google Cloud.
  • Experience with Python data processing libraries such as Pandas.
  • Experience with designing and developing custom ETL processes and pipelines.
  • Experience with designing and developing APIs in Python.
  • Experience with transfer, storage, and analysis of real-time telemetry data.
  • Experience with DevOps tools such as infrastructure-as-code (IaC) tools or CI/CD tools.