Total 4 system analyst job vacancies in Art / Design / Entertainment category in D19 Serangoon Garden, Hougang, Sengkang, Punggol

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

The scope of the System Manager is as below:

• Coordinate and manage algorithms fine tuning from training environment including training

material collection, annotation, image containerization and algorithms onboarding to CVAS.

• Benchmark setup for algorithms accuracy testing and commissioning.

• Responsible to build data pipelines for transforming data from CVAS into a format that can

be analysed and supported in customer 's data-related analytics.

• Daily operation on CVAS.

Minimum Qualification of the System Manager:

1. Experience in VA system management or equivalent role.

2. Experience in deep learning/machine learning technologies, tools and development

frameworks in the field of video analytics, image processing, e.g. TensorFlow, Keras, Caffee,

Pytorch, Modeling etc.

3. Experience in video analytics algorithms developing. Knowledge and experience in

construction safety domain will be preferred.

4. Good understanding in software development and quick prototyping with C/C++/Java,

Docker, Kubernetes, or any AI language of choice.

5. Experience with source control such as GitHub.

The scope of the System Support is as below:

1. Video analytic task creation, deletion, start and stop.

2. Algorithms full lifecycle management, including upgrading, versioning, training, dismission

and onboarding.

3. False detection case recognition e.g., video footages from incidents to validate the

algorithms false positive and false negative rate to trigger fine tuning.

4. Generate system performance report.

5. Other daily tasks assigned by CUSTOMER.

6. The System Support shall have experience in VA or similar project management.

7. Experience in VA system management or equivalent role.

8. Experience in deep learning/machine learning technologies, tools and development

frameworks in the field of video analytics, image processing, e.g. TensorFlow, Keras, Caffee,

Pytorch, Modeling etc.

9. Experience in video analytics algorithms developing. Knowledge and experience in

construction safety domain will be preferred.

10. Good understanding in software development and quick prototyping with C/C++/Java,

Docker, Kubernetes, or any AI language of choice.

11. Experience with source control such as GitHub.