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Research Engineer - Computational Materials Science & Self-Driving Materials Discovery

Job in Watertown, Middlesex County, Massachusetts, 02472, USA
Listing for: Bosch USA
Full Time position
Listed on 2026-09-13
Job specializations:
  • Engineering
    Mechanical Engineer, Research Scientist, Electrical Engineering
  • Research/Development
    Research Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

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.

Company 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
  • 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 Watertown, MA, Sunnyvale, CA, and Pittsburgh, PA is part of the global Bosch Group (), a company with over 90 billion euro revenue, 410,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors, Wireless, MEMS Advanced Design, and Healthcare.

The Computational Materials Science team in Watertown specializes in atomistic and mesoscale simulation to improve Bosch products through deep understanding of thermodynamic, kinetic, and transport phenomena on an atomic level. Using quantum mechanical and classical simulations, and machine learning, our team focuses on application areas which include sensors, electrochemistry, energy conversion, and sustainability. Our work directly contributes to the development of innovative solutions for real-world challenges.

Do you want to shape beneficial technologies with your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Bosch Corporate Research is seeking a Research Engineer to conduct applied research in computational materials science at the atomistic level and contribute to the development of next-generation Bosch products. The Research Engineer will be expected to utilize the full suite of tools available for atomistic simulation, from conventional classical and electronic structure calculations to emerging AI techniques, to rapidly move from conceptualization to qualitative screening to quantitative modeling, in pace with engineering development cycles and experimental campaigns.

As connection to physical product development is paramount in this role, the successful candidate will be able and interested in engaging with experimental efforts, both in conventional and self-driving lab contexts, and expanding broad professional networks both within Bosch and externally with industry partners, national labs and academia.

Your Responsibilities
  • Conduct applied research in materials science rooted in rigorous physical and chemical principles, focusing on simulations at the atomistic level
  • Apply both conventional atomistic methods and emerging AI tools to derive actionable insights on materials behavior, selection, and optimization, supported by appropriate model…
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