Quantum- Algorithms Industrial Researcher Internship

Position: Quantum-inspired Algorithms for Industrial Applications Researcher Internship
** Job Family:
** Research & Predevelopment

** Req :
** 495940

** Quantum-inspired Algorithms for Industrial Applications Researcher-Internship*
* Here at Siemens, we take
pride in enabling sustainable progress through technology. We do this through
empowering customers by combining the real and digital worlds. Improving how we
live, work, and move today and for the next generation! We know that the only
way a business thrives is if our people are thriving. That's why we always put
our people first. Our global, diverse team would be happy to support you and
challenge you to grow in new ways. Who knows where our shared journey will take
you?

** Transform the everyday with us!*
* ** Company Overview*
* Siemens
Foundational Technology (FT) is the central R&D organization of Siemens,
shaping the future of industrial technologies through advanced algorithms,
optimization, and AI. Our mission is to accelerate innovation across Siemens'
industry, infrastructure, mobility, and energy businesses by translating
cutting-edge computational methods into practical, scalable industrial
solutions.

We are looking
for a highly motivated intern to join our  _Simulation_  Research Group in
Princeton, NJ. The team develops next-generation algorithmic methods that
bridge advanced mathematics, computer science, and real-world industrial
applications.

** This is aremote internship; however, for a more immersive experience, the role may alsobe completed onsite, if preferred, at our Princeton, NJ location. Theinternship is full-time and requires a minimum commitment of six months.*
* ** Role Summary*
* In this
internship, you will work on  
** quantum-inspired algorithms
** with a strong
focus on  
** optimization** ,  
** machine learning** , and/or  
** advancedsolvers
* * for industrial-scale problems. Rather than targeting quantum
hardware, the emphasis is on leveraging ideas from quantum computing (e.g. annealing-inspired
methods, tensor representations, and probabilistic formulations) to develop  
** classicalalgorithms
* * that run efficiently on today's HPC and cloud platforms.

Your work will
contribute to next-generation industrial capabilities such as:

+ Large-scalecombinatorial and continuous optimization for engineering design, planning, and operations

+ Machine learning models enhanced by quantum-inspired representations or trainingstrategies

+ Fast,robust solvers for complex industrial problems arising in simulation, digital engineering, and decision-making

You will be
mentored by experienced researchers and collaborate in an interdisciplinary
environment spanning applied mathematics, optimization, machine learning,
simulation, and industrial application domains.

** Key Responsibilities*
* + Research,implement, and benchmark  
** quantum-inspired optimization algorithms
** forindustrially relevant problems.

+ Develop and evaluate  
** quantum-inspired machine learning methods** , such asalternative model representations, training strategies, or hybridoptimization-learning pipelines.

+ Designand implement  
** advanced solvers
** for large-scale linear or nonlinear problemsarising in engineering and industrial applications.

+ Comparequantum-inspired approaches against state-of-the-art classical optimization andML methods on representative industrial use cases.

+ Prototypescalable implementations in Python and/or C++ suitable for HPC, GPU, or cloud environments.

+ Collaborate closely with domain experts, simulation engineers, and software researchers toensure practical relevance and impact.

+ Documentmethods and results, present progress to the research team, and contribute topublications or internal technology transfer where appropriate.

** Required Qualifications*
* + Currently,enrolled in a PhD's program in Applied Mathematics, Computer Science,Engineering, Physics, Operations Research, or other STEM degree from an accredited university.

+ Strong background in  
** quantum computing concepts**  (e.g., quantum annealing,tensor networks, Quantum‑inspired Monte Carlo, ...), with emphasis on classicalor quantum-inspired implementations.

+ 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).

+ Hands-on experience with  
** Python
* * and scientific computing or ML frameworks (e.g.,PyTorch, JAX, Num Py/Sci Py).

+ Proficient in English both written and verbal

+ Legally authorized to work in the United States without company sponsorship now or inthe future.

** Preferred*
* + Experience with mathematical programming or large-scale numerical solvers.

+ Experience with  
** C++** , HPC, GPU computing, or parallel programming.

+ Familiarity with Linux-based development environments

+ Abilityto learn new mathematical, algorithmic, and software concepts quickly.

+ Strong analytical and problem-solving skills.

+ Abilityto work effectively in an interdisciplinary research environment.

+ Strong communication skills…