Full Stack Software Engineer – IBM Quantum

IBM

Quick summary

Work type
On-site
Location
Yorktown Heights, NY
Posted
6 days ago

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Similar $176k
$127k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $141,288–$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 921 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 10 roles with salary data.

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At a glance

TL;DR · Full Stack Software Engineer – IBM Quantum

As a Full Stack Software Engineer at IBM Quantum in Yorktown Heights, you will join a dynamic team of engineers and researchers to design and implement high-performance Python applications for compute-intensive tasks. Your daily responsibilities include analyzing and optimizing large codebases, developing efficient algorithms, and resolving performance bottlenecks using profiling and benchmarking tools. You will collaborate closely with the team to ensure robust solutions that adhere to best practices in maintainability and testability. The ideal candidate has expertise in Python optimization, experience with numerical computing, and hands-on knowledge of low-level systems programming languages like C/C++ and Rust. Familiarity with CI/CD pipelines and performance techniques such as NumPy, Numba, and Cython is essential for this role that focuses on delivering scalable solutions to complex computational challenges in the quantum domain.

What you'll do

  • Design and implement high-performance Python code for compute-intensive applications.
  • Analyze and optimize large, complex existing Python codebases to improve performance.
  • Develop and evaluate efficient algorithms and data structures for critical components.
  • Identify and resolve CPU, memory, I/O bottlenecks in performance-critical systems.
  • Use profiling, benchmarking tools to guide optimization of software components.
  • Ensure high code quality, maintainability, and testability through best practices.

What we're looking for

  • Proven expertise in performance-critical Python programming and optimization.
  • Strong background in algorithms, data structures, and complexity analysis.
  • Experience working with large, legacy or long-lived codebases.
  • Hands-on experience with profiling, benchmarking, and low-level optimization techniques.
  • Familiarity with C/C++ & Rust integrations or low-level systems programming.
  • Background in computer science, mathematics, physics, or a related field.

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