Computer Vision / AI Engineer Co-op
West Henrietta, NY
Internship
Engineering
Student (College)
Department: Product Development Services
FLSA Status: Non-Exempt
Reports to: Software Core Team Manager
Pay Range: $24.00 - $27.00 per hour
The Role
D3 Embedded is seeking an enthusiastic and motivated engineering student to join our Computer Vision and AI team. This role provides a hands-on opportunity to work with cutting-edge AI/ML technologies for embedded vision applications. As a Computer Vision/AI Co-Op, you will contribute to the research, development, and deployment of perception solutions, gaining experience in real-world AI applications for embedded systems.
The Responsibilities
- Assist in the development and optimization of computer vision and AI algorithms for tasks such as object detection, instance segmentation, sensor fusion, and pose estimation.
- Implement, test, and deploy machine learning models on embedded and edge platforms.
- Work with senior engineers to translate high-level design specifications into functional prototypes.
- Develop and optimize software using Python and C++ for real-time AI applications.
- Perform model training, evaluation, and fine-tuning using deep learning frameworks like TensorFlow, PyTorch, and ONNX.
- Support hardware bring-up and software integration on embedded platforms.
- Assist with data collection, preprocessing, and annotation for AI model training.
- Participate in code reviews, documentation, and debugging of AI-based applications.
- Collaborate with cross-functional teams to integrate AI solutions with existing embedded systems.
Additional Responsibilities
The Right Person Will Have
- Pursuing a bachelor's or master's degree in computer science, Electrical Engineering, Computer Engineering, or a related field.
- Strong analytical and problem-solving skills.
- Self-motivated with a desire to learn and contribute in a fast-paced engineering environment.
- Excellent communication and teamwork skills.
- Proficiency in Python and/or C++ for AI and computer vision development.
- Experience with at least one deep learning framework (PyTorch, TensorFlow, ONNX, OpenCV).
- Basic understanding of machine learning, deep learning, and computer vision concepts.
- Familiarity with embedded software development and Linux-based systems.
- Knowledge of model optimization techniques for deployment on resource-constrained platforms (e.g., quantization, pruning, TensorRT, OpenVINO).
- Ability to analyze and debug AI models and embedded implementations.
- Familiarity with version control tools like Git.
Experience with any of the following is a plus:
- CUDA, OpenGL, or OpenCL for GPU acceleration
- ROS (Robot Operating System)
- Edge AI hardware such as NVIDIA Jetson, Google Coral, or Intel Movidius
The Company
Since our founding in 1999, D3 Embedded has driven innovation in high-performance embedded systems development. We leverage our expertise in autonomous machines, sensors, imaging, optics, edge computing, algorithms, robotics, and electrification to provide cutting-edge engineering design and low-volume manufacturing services. Headquartered in Rochester NY, we serve a global network of customers and are proudly connected with many technology leaders and Fortune 500 companies. We are interested in bright, creative, and team-oriented individuals exhilarated by the opportunity to transform the world through frontier technologies.
Candidates must be eligible to work in the United States. D3 Embedded does not sponsor visas. For more information about D3 Embedded, please visit www.d3embedded.com.
D3 Embedded is committed to fostering a diverse work environment and proud to be an Equal Opportunity Employer. We consider and hire applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
D3 Embedded participates in E-Verify, a federal program that confirms employment eligibility upon hire.