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Quantum Computing Materials Science Intern

BoschGroup

Sunnyvale, CA, United States permanent

Posted: March 13, 2026

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Quick Summary

We are looking for an intern to work with our materials science team and help develop new quantum computing materials. The ideal candidate will have a strong foundation in materials science and a passion for quantum computing.

Job Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark 

enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding 

Bosch teams around the world. Their creativity is the key to innovation through connected living, 

mobility, or industry. 

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch

• Reinvent yourself: At Bosch, you will evolve. 

• Discover new directions: At Bosch, you will find your place. 

• Balance your life: At Bosch, your job matches your lifestyle. 

• Celebrate success: At Bosch, we celebrate you. 

• Be yourself: At Bosch, we value values. 

• Shape tomorrow: At Bosch, you change lives.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As an intern in the Atomistic Computational Materials Science team at the Bosch Research and Technology Center North America, you will contribute to the development of advanced computational methods for strongly correlated electron systems within a hybrid quantum–classical Dynamical Mean-Field Theory (DMFT) workflow.

Your work will focus on the development and benchmarking of: (1) classical impurity solvers based on Density Matrix Renormalization Group (DMRG) and Adaptive Sampling Configuration Interaction (ASCI), and (2) quantum impurity solvers based on Variational Quantum Eigensolver (VQE), quantum Equation of Motion (qEOM), Subspace Expansion (SE), and Sample-based Quantum Diagonalization (SQD). These methods will be used to compute ground and excited states of multi-orbital Anderson Impurity Model (AIM) Hamiltonians, evaluate Green’s functions in the Lehmann representation, and integrate the solvers into a hybrid DMFT self-consistency workflow as described in npj Comput. Mater. 11, 325 (2025) and arXiv:2404.09527.

The goals of this research are to enable scalable simulations of strongly correlated materials and to assess the role of emerging quantum computing technologies in future industrial materials design workflows. You will have access to state-of-the-art high-performance computing infrastructure and classical quantum simulators for algorithm development and benchmarking.

Required Qualification:

• Currently pursuing a PhD in Physics, Chemistry, Materials Science, Applied Mathematics, or a related field
• Strong background in quantum many-body physics, electronic structure theory, or quantum algorithm development
• Experience with numerical simulations (Python, NumPy, SciPy)
• Research experience, strong teamwork skills, and excellent oral and written communication
• Minimum GPA of 3.0

Desired Qualification:

• Experience with DMRG, tensor networks, or selected CI methods (e.g., ASCI)
• Familiarity with DMFT and classical or quantum impurity solvers
• Experience with quantum computing frameworks (Qiskit, Cirq, PennyLane)
• Knowledge of quantum algorithms for ground and excited states (VQE, qEOM, subspace methods, SQD, imaginary-time approaches)

The U.S. base salary range for this intern position is $43.00 – $55.00 an hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)

Equal Opportunity Employer, including disability / veterans.  

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

 

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