Software Engineering Co-Op - Spring 2027
The Software Engineering Co-Op at Confidential Client focuses on developing and optimizing embedded AI and computer vision applications for mobile machines. The role involves deploying and enhancing AI models on resource-constrained embedded platforms, improving inference performance, and integrating AI with sensor and camera systems. This internship offers hands-on experience in real-time video processing, AI model optimization, and embedded software development within a collaborative engineering team.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Mechanical Or Industrial Engineering.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking an Embedded AI / Computer Vision co-op to join an engineering team working on AI-enabled vision systems for mobile machines. In this role you will develop, deploy, profile, and optimize models and real-time pipelines for embedded targets.
- Collaborate with software engineers to design and optimize embedded AI and computer vision applications for mobile machinery.
- Deploy, benchmark, and optimize neural networks for on-target execution on embedded platforms (including hardware accelerators).
- Improve real-time video processing and inference pipelines to increase throughput and reduce latency.
- Profile and troubleshoot performance bottlenecks across image acquisition, preprocessing, inference, postprocessing, and video output.
- Apply model optimization techniques such as quantization, pruning, and hardware-specific acceleration to improve inference efficiency.
- Develop and optimize C/C++ software components for embedded Linux and real-time operating systems.
- Integrate AI models with camera systems, sensors, and embedded communication interfaces (e.g., CAN, Ethernet).
- Build testing and benchmarking tools to measure accuracy, latency, memory use, and end-to-end pipeline performance.
- Document architecture, optimization strategies, performance results, and implementation details.
- Participate in design reviews, code reviews, and team technical discussions.
What We’re Looking For
Minimum qualifications for this co-op:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.
- Proficiency with C/C++ programming.
- Fundamental understanding of embedded systems and software development.
- Basic knowledge of artificial intelligence, machine learning, or computer vision concepts.
- Familiarity with Linux development environments.
- Strong analytical, debugging, and problem-solving skills.
- Good written and verbal communication and ability to work collaboratively in teams.
Nice-to-Haves (Preferred Qualifications)
The following skills will make you stand out:
- Experience deploying AI or computer vision models on embedded hardware.
- Familiarity with AI frameworks and deployment tools (PyTorch, TensorFlow, TensorFlow Lite, ONNX).
- Experience with quantization, model compression, or hardware-specific inference acceleration.
- Knowledge of embedded AI accelerators, GPUs, or NPUs (examples: TI TDA4 or similar).
- Experience with real-time video frameworks (GStreamer, OpenCV) and embedded OS (Embedded Linux, QNX).
- Experience with performance profiling tools for CPU/GPU/memory/system-level bottlenecks.
- Background in image processing, object detection, or semantic segmentation models.
- Experience with cross-compilation, hardware debugging, and on-target software development.
Additional Details
- Employment type: FULL_TIME (Co-op / Intern level).
- Location: Onsite in Fountain Inn, SC (Confidential Client site).
- Term: Spring 2027 co-op period (dates to be confirmed with the hiring manager).
- Work authorization: Must be authorized to work in the U.S. for the duration of employment; visa sponsorship is not available.
- Applicants must be able to comply with any site-specific safety or access requirements.
- This role is with a Confidential Client in the Mechanical Or Industrial Engineering industry.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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