Trainee Smart Meter Engineer for Utilita, installing gas and electric meters. Completing training and working to industry standards while ensuring safety and compliance.
About the role
- Algorithms Software Engineer developing next-generation biosensor systems for diagnostic applications at Analog Devices. Collaborating with engineers to develop and refine algorithms using experimental data.
Responsibilities
- Take ownership of specific algorithm components, from concept through prototyping and performance evaluation.
- Develop Python-based algorithms for post-processing and analyzing raw sensor data collected from laboratory experiments.
- Apply signal processing techniques to extract robust features from noisy, real-world sensor signals.
- Explore and apply machine learning techniques to improve measurement accuracy, robustness, and reliability.
- Combine classical signal processing and data-driven approaches where appropriate.
- Work closely with sensor design engineers and technical leads to understand sensor operation, physics, and data interpretation.
- Provide data-driven insights from algorithm analysis to guide sensor and system design optimization.
- Develop automated analysis pipelines to evaluate sensor performance across large experimental datasets.
- Develop algorithm prototypes in Python suitable for real-time or near-real-time execution.
- Support the software team with algorithm integration and porting to embedded or production environments.
- Contribute to algorithm verification, test datasets, and performance characterization.
Requirements
- BEng, MSc, or PhD in Electrical Engineering, Computer Science, Software Engineering, Physics, Mathematics, or a related discipline.
- Experience developing algorithms for sensing, measurement, or data-driven systems.
- Strong proficiency in Python for algorithm development and data analysis (e.g. NumPy, Pandas, SciPy, scikit-learn).
- Solid understanding of signal processing techniques for transforming and optimizing raw sensor data.
- Working knowledge of machine learning techniques applied to time-series or sensor data (e.g. regression, classification, anomaly detection).
- Strong software development skills, including version control (Git) and basic software test methodologies.
- Ability to work independently, take ownership of technical tasks, and maintain focus on algorithm development goals.
- Good communication and collaboration skills.
- Willingness to learn the physics underpinning sensor operation.
- Practical experience working with experimental or laboratory data.
Benefits
- Health insurance
- 401(k)
- Flexible working hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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