Deep Learning Engineer II (Multiple Positions) (REF286216I)

Robert Bosch Group; Pittsburgh (Allegheny County); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Robert Bosch Group in Pittsburgh seeks a Deep Learning Engineer II to conduct R&D of signal processing and AI systems on embedded platforms. You will work on multimodal data (audio, vibration, radar, lidar) and develop algorithms and AI components integrated with large language models to automate complex tasks.

Requires a master’s degree and 3 years of relevant experience in deep learning pipelines; proficiency with Python, PyTorch, MLFlow, NumPy, SciPy, and Matplotlib; hybrid work schedule with

Qualifications

• Master’s degree or foreign equivalent in Information Technology, Electronic Engineering or a related field.
• 3 years of experience as a Deep Learning Engineer or related role.
• Experience with deep learning and signal processing frameworks in Python, PyTorch, Lightning, MLFlow, NumPy, SciPy, Matplotlib.

Responsibilities

• Conduct research and advanced development of signal processing and deep learning systems for diverse sensor data (audio, vibration, ultrasounds, radar, lidar, power traces, torque).
• Develop AI systems integrated with large language models for agentic workflows and automation.
• Create multimodal retrieval-augmented generation applications combining data types to generate contextually relevant responses.
• Collaborate with global teams to deploy AI solutions on embedded platforms.

Skills

Deep learning

Signal processing

Python

Education

Master’s degree

Tools

PyTorch

Lightning

MLFlow

NumPy

SciPy

Matplotlib

Python

Job description

Deep Learning Engineer II (Multiple Positions) (REF286216I)

• Full-time

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.

REQS: This position requires a master’s degree or foreign equivalent in Information Technology, Electronic Engineering or a related field and 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.

Additionally, the applicant must have employment experience with:

• Deep learning and signal processing frameworks in Python
• PyTorch and Lightning
• MLFlow and Numpy
• Scipy
• Matplotlib

Telecommuting: Hybrid, 2 days per week WFH.

All your information will be kept confidential according to EEO guidelines.