Research Engineer – Simulation and Optimization for Energy Systems

  • 384 Santa Trinita Ave, Sunnyvale, CA 94085, USA
  • Full-time
  • Legal Entity: Robert Bosch LLC

Company Description

The Bosch Research and Technology Center North America (https://www.bosch.com/research/) with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 associates worldwide, a very diverse product portfolio, and a history of over 130 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 sensors, circuit design, wireless solutions, energy materials and technologies, complex simulations, software engineering, human machine interaction technologies, car infotainment, web technologies and autonomous systems such as robotics. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

Job Description

The Bosch Research and Technology Center in Sunnyvale, CA seeks to hire an outstanding research engineer to develop novel multiscale, cross-domain modeling, simulation, and optimization tools for Bosch products. This engineer would join a team of PhDs with a variety of competences including high fidelity CFD-based multiphysics modeling, adjoint-based optimization, high performance computing and model-based state estimation and controls. The team focuses on design and optimization of residential and transportation technology targeting high energy efficiency and reduced emissions, including fuel cells, electric vehicle components, and heating systems.


This engineer will develop modeling, simulation, and adjoint-based optimization methodologies and implement high performance computing (HPC)-based software tools; develop hybrid models that combine data-driven (machine learning) and physics-based models with high accuracy and low computational cost; and work closely with Bosch internal customers to test and apply the methodologies and software tools for product development. Additionally, this engineer will explore and derive new research activities in related fields through close collaborations with universities, national labs, startups, and the open source community. This engineer is expected to produce excellent technical results while communicating and demonstrating their relevance and importance to different stakeholders within Bosch. The engineer will also mentor interns and PhD students as required.

Qualifications

Basic Qualifications

  • PhD degree in Mechanical Engineering, Aeronautics, Computational Engineering Science or related discipline
  • Experience in Computational Fluid Dynamics, along with proven research track record
  • 4+ years coding experience using C++, C and/or Python

Preferred Qualifications

  • Experience with High Performance Computing
  • Experience with adjoint-based optimization methods and SU2
  • Autonomy, attention to detail, flexibility, creativity, and excellent communication and teamwork skills are expected

Additional Information

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)

By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.

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