About the role#
We are looking for an Embedded AI Software Engineering Co-Op to join our team for the Winter 2027 term. You will work on embedded AI and computer vision applications for mobile machines. This role focuses on optimizing AI models and real-time processing pipelines for deployment on embedded hardware. You will gain hands-on experience developing, deploying, and profiling AI-powered vision systems on resource-constrained platforms.
What you'll do#
- Collaborate with the software development team to build and optimize applications for mobile machines.
- Deploy and benchmark AI models on embedded targets, including hardware equipped with AI accelerators.
- Optimize real-time video processing and AI inference pipelines to improve throughput and reduce latency.
- Minimize CPU, GPU, and memory utilization.
- Profile and troubleshoot performance bottlenecks involving image acquisition, preprocessing, inference, and postprocessing.
- Explore model optimization techniques like quantization, pruning, and hardware-specific acceleration.
- Develop software components in C/C++ for embedded Linux and real-time operating systems.
- Integrate AI models with camera systems, sensor inputs, and communication interfaces.
- Build testing and benchmarking tools to evaluate model accuracy, execution time, and memory consumption.
- Document software architecture, optimization strategies, and performance results.
- Participate in team meetings, code reviews, and technical discussions.
What you'll need#
- Currently pursuing a bachelor's or master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.
- Familiarity with C/C++ programming and Linux development environments.
- Fundamental understanding of embedded systems and software development.
- Basic knowledge of artificial intelligence, machine learning, or computer vision concepts.
- Strong analytical, debugging, and problem-solving skills.
- Experience with AI frameworks such as PyTorch, TensorFlow, TensorFlow Lite, or ONNX.
- Experience with real-time video processing frameworks like GStreamer or OpenCV.
- Knowledge of embedded AI accelerators, GPUs, or NPUs, such as the Texas Instruments TDA4.
- Familiarity with embedded Linux, QNX, or other real-time operating systems.
- Experience with communication protocols like CAN or Ethernet.
- Proficiency in performance profiling and cross-compilation.
Location & details#
- Location: Fountain Inn, South Carolina.
- Work Modality: On-site.
- Employment: Full-time.
- Compensation: Paid internship.
- Eligibility: Indefinite U.S. work authorization is required. Sponsorship is not available.
About Bosch
Bosch operates as a global supplier of technology and services across four sectors including mobility, industrial technology, consumer goods, and energy and building technology. Founded in 1886, the company maintains a presence in over 60 countries through a network of roughly 500 subsidiaries. It employs approximately 413,000 people and focuses on areas like sensor technology, software, and artificial intelligence. The organization is headquartered in Gerlingen-Schillerhöhe, Germany.
How to get in at Bosch
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