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# Full Stack Software Engineer - IBM Quantum

- **Company:** IBM
- **Location:** Yorktown Heights, NY, United States
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Profiling, Computer Programming, Data Structures, Software Debugging, Python (Programming Language), Multiprocessing, NumPy, Big O, System Programming, Multithreading, Concurrency, Parallel Computation, Numerical Computing, Information Technology, Codebase, Code Restructuring
- **Published:** June 12, 2026
- **Apply:** https://www.juju.com/job/00000000g7qzpb

## About the Role

* Demonstrated optimization of Python libraries

 * 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

 * C/C++ & Rust integrations or low-level systems programming

Preferred technical and professional experience

 * Experience with numerical computing or data-intensive systems

 * Familiarity with CI/CD pipelines

 * Background in computer science, mathematics, physics, or a related field

 * Hands-on experience with performance techniques such as:

 * Profiling and benchmarking (e.g., cProfile, line_profiler)

 * Low-level optimization (e.g., NumPy, Numba, Cython)

 * Parallelism and concurrency (multiprocessing, multithreading, async programming)

## Description

* Analyze, refactor, and optimize large and complex existing Python codebases

 * Develop and evaluate efficient algorithms and data structures

 * Identify and resolve performance bottlenecks (CPU, memory, I/O) providing robust solutions

 * Use profiling, benchmarking, and debugging tools to guide optimizations

 * Collaborate closely with engineers, architects and researchers on performance-critical components


## Related Videos

- [Hands-on Journey to Quantum Computing with IBM](https://www.wearedevelopers.com/videos/137-hands-on-journey-to-quantum-computing-with-ibm)
- [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Why your codebase lies to AI?](https://www.wearedevelopers.com/videos/100281-why-your-codebase-lies-to-ai)
- [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c)
- [Quantum DevOps - Quantum Application Development](https://www.wearedevelopers.com/videos/1441-quantum-devops-quantum-application-development)

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