Quantum-inspired Algorithms for Industrial Applications Researcher – Internship

Job Description

Quantum-inspired Algorithms for Industrial Applications Researcher – Internship | Siemens

The Tone:
This is an internship at Siemens, located in Princeton, NJ, with a remote option available. Siemens Foundational Technology (FT) is the central R&D organization for Siemens, focused on advancing industrial technologies through algorithms, optimization, and AI. This role is crucial for translating cutting-edge computational methods into practical, scalable industrial solutions that improve how we live, work, and move. The global team values its people and offers support and challenges for growth.

The TL;DR
• Role: Internship
• Type: Full-time, minimum 6 months
• Location: Remote (with onsite option in Princeton, NJ)
• Pay: $43–$47 hourly
• Team: Simulation Research Group in Princeton, NJ
• Mission: Develop classical algorithms drawing on quantum computing ideas for industrial-scale optimization, machine learning, and advanced solvers.
• Tech Stack: Python, PyTorch, JAX, NumPy, SciPy, C++ (preferred), HPC (preferred), GPU computing (preferred), Linux (preferred)

What You’ll Actually Do
• Research: Research, implement, and benchmark quantum-inspired optimization algorithms for industrially relevant problems.
• Develop: Develop and evaluate quantum-inspired machine learning methods, such as alternative model representations, training strategies, or hybrid optimization–learning pipelines.
• Design: Design and implement advanced solvers for large-scale linear or nonlinear problems arising in engineering and industrial applications.
• Compare: Compare quantum-inspired approaches against state-of-the-art classical optimization and ML methods on representative industrial use cases.
• Prototype: Prototype scalable implementations in Python and/or C++ suitable for HPC, GPU, or cloud environments.

The Must-Haves
• Background: Currently enrolled in a PhD’s program in Applied Mathematics, Computer Science, Engineering, Physics, Operations Research, or other STEM degree from an accredited university, with a strong background in quantum computing concepts (e.g., quantum annealing, tensor networks, Quantum-inspired Monte Carlo) with emphasis on classical or quantum-inspired implementations.
• Experience: Hands-on experience with Python and scientific computing or ML frameworks (e.g., PyTorch, JAX, NumPy/SciPy). Legally authorized to work in the United States without company sponsorship now or in the future.
• Skills: Background in optimization (e.g., annealing, gradient-descent), machine learning (e.g., dimensionality reduction, inference, high-dimensional data representation), or numerical methods (e.g., linear solvers, differential equation solvers, root finding), and proficient in English both written and verbal.
• Bonus: Experience with mathematical programming or large-scale numerical solvers; experience with C++, HPC, GPU computing, or parallel programming; familiarity with Linux-based development environments; ability to learn new mathematical, algorithmic, and software concepts quickly; strong analytical and problem-solving skills; ability to work effectively in an interdisciplinary research environment; strong communication skills (written and verbal); and ability to work independently, take initiative, and manage time effectively.