Deep Learning Engineer II (Multiple Positions) (REF286216I)

Bosch GroupPittsburgh, PA
Hybrid

About The Position

Robert Bosch LLC seeks Deep Learning Engineer II (Multiple Positions) at its facility located at 2555 Smallman Street, Suite 300, Pittsburgh, PA 15222. Conduct research and advanced development of innovative signal processing and deep learning systems specifically designed to process and analyze sensor signals. These sensor signals include, but are not limited to, audio, vibration, ultrasounds, radar, lidar, power traces, and torque. Utilize expertise in machine learning and signal processing to develop innovative algorithms that accurately interpret and respond to these diverse types of data. Manage the development of artificial intelligence (AI) systems integrated with large language models. These AI systems support agentic workflows, automating complex tasks typically performed by human agents. Work on creating multimodal retrieval-augmented generation applications, combining multiple forms of data (e.g., text, images, audio) to enhance the system's ability to generate relevant and contextually appropriate responses. Collaborate with teams across the organization worldwide to ensure the successful implementation and deployment of these advanced AI solutions on embedded platforms.

Requirements

  • Master’s degree or foreign equivalent in Information Technology, Electronic Engineering or a related field.
  • 3 years of experience as a Deep Learning Engineer, Research Engineer or occupation involving design, development, and maintenance of deep learning pipelines for acoustic and vibration signals.
  • Deep learning and signal processing frameworks in Python.
  • PyTorch and Lightning.
  • MLFlow and Numpy.
  • Scipy.
  • Matplotlib.

Responsibilities

  • Conduct research and advanced development of innovative signal processing and deep learning systems specifically designed to process and analyze sensor signals.
  • Develop innovative algorithms that accurately interpret and respond to diverse sensor data types (audio, vibration, ultrasounds, radar, lidar, power traces, and torque).
  • Manage the development of artificial intelligence (AI) systems integrated with large language models to support agentic workflows and automate complex tasks.
  • Create multimodal retrieval-augmented generation applications combining multiple data forms (text, images, audio).
  • Collaborate with global teams to ensure successful implementation and deployment of advanced AI solutions on embedded platforms.
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