Data Engineer – IBM Quantum

IBM

Quick summary

Work type: On-site
Location: Research Triangle Park, NC
Posted: 6 days ago

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Similar $169k

$115k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Data Engineer – IBM Quantum

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We are seeking a mid-level Data Engineer to join our innovative team at IBM Quantum in Research Triangle Park. This role involves designing and implementing robust data pipelines, integrating quantum computing datasets with classical systems, and developing scalable solutions for complex data challenges. You will work closely with scientists and engineers to process large volumes of experimental data, ensuring accuracy and efficiency in analysis. Proficiency in Python, SQL, and experience with cloud platforms like AWS or Azure is essential. Familiarity with Kubernetes, Docker, and quantum computing frameworks such as Qiskit is highly desirable. The ideal candidate will have a strong background in data engineering and be passionate about advancing the field of quantum technology.

Skills

Python SQL IBM_Quantum Qiskit Cloud_Platforms Git CI/CD Docker Kubernetes AWS Azure Google_Cloud_Projects PostgreSQL MongoDB Redis Apache_Spark Hadoop Jenkins

What you'll do

Design and implement quantum algorithms using IBM Quantum tools.
Optimize quantum circuits for execution on near-term quantum hardware.
Develop classical software to simulate quantum systems efficiently.
Analyze experimental data from quantum computing experiments rigorously.
Stay updated with advancements in quantum information science literature.

What we're looking for

Bachelor's degree in Computer Science, Engineering, or related field.
Proficiency in Python and experience with cloud platforms like AWS or Azure.
Strong background in data modeling, ETL processes, and database management.
Experience with quantum computing frameworks such as Qiskit or Cirq.
Knowledge of machine learning libraries (TensorFlow, PyTorch) and statistical analysis.
Ability to design and implement scalable data solutions for complex problems.

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