Full Stack Software Engineer - IBM Quantum

• 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

• 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)