Renesas is looking to build intelligent systems that power next-generation embedded solutions by working on real-world sensor data.
Requirements
- Familiarity with signal processing and machine learning concepts.
- Experience with Python, MATLAB, or similar tools.
- Exposure to version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitHub Actions).
- Experience with embedded development environments.
- Familiarity with data labeling tools and ML workflows.
Responsibilities
- Work with diverse sensor data types including audio, vibration, accelerometry, electrical, and radar.
- Analyze and process signal data to extract meaningful features and patterns.
- Apply machine learning techniques to large datasets for classification and prediction tasks.
- Assist in model training, evaluation, and deployment on embedded platforms.
- Participate in field data recording, labeling, and preparation for model development.
- Maintain and improve the team’s codebase, ensuring modularity, scalability, and clarity.
- Support and enhance CI/CD pipelines to automate testing, integration, and deployment of AI models and tools.
Other
- 100% onsite in Columbia, MD
- Bachelor’s with up to 2 years experience or a recent Master’s degree with no work experience in Electrical Engineering, Computer Science, or related field.
- Strong communication and teamwork skills.
