onsite
AI Solutions Engineer - vadum
Software Engineer
Design and deploy AI-driven solutions for advanced RF, microwave and mixed‑signal systems, leveraging Python, C++, machine learning, and cloud platforms to create innovative, high‑precision technology for research and development projects.
About the role
Key Responsibilities
- Develop AI models and algorithms that enhance the performance of RF, microwave, and mixed‑signal hardware.
- Integrate machine‑learning pipelines with existing C++/Python codebases and instrumentation control software.
- Design, train, and deploy models on cloud infrastructure (e.g., AWS) for scalable inference and data processing.
- Collaborate with hardware engineers to translate signal‑processing requirements into AI‑enabled solutions.
- Validate AI‑driven prototypes through simulation, lab testing, and field trials, ensuring compliance with precision instrumentation standards.
Requirements
- Strong programming experience in Python and C++ with a focus on scientific or embedded applications.
- Hands‑on expertise in machine learning frameworks (TensorFlow, PyTorch) and signal‑processing techniques.
- Background in RF, microwave, or mixed‑signal system design and instrumentation.
- Proficiency with cloud services (AWS) for model training, deployment, and data storage.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, research‑driven environment.
Skills
pythoncmachine learningaws