Research Engineer/Senior Research Engineer (1-year contract), SCIS
Research Engineer/Senior Research Engineer (1-year contract), SCIS
Singapore Management University- Posted a day ago
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Job Description
Responsibilities
- Build device prototypes from end to end, including component selection, circuit and PCB design, assembly andenclosure fabrication.
- Integrate cameras, light sources and embedded processors, and develop the firmware needed to operate thesystem.
- Test, calibrate and troubleshoot devices to improve performance, power efficiency and reliability.
- Work with the research team to integrate eye-tracking software and prepare devices for experiments and userstudies.
- Maintain design and assembly documentation, and perform other duties as assigned.
- Bachelor's degree in Electronic Engineering, Electrical Engineering, or a closely related discipline.
- Hands-on experience developing FPGA-based embedded systems using Xilinx platforms andVerilog/SystemVerilog.
- Experience in C/C++ firmware and driver development, including STM32 microcontrollers and embeddedLinux/PetaLinux.
- Experience in PCB design using Altium and integrating hardware and firmware into complete working systems.
- Familiarity with high-speed data transfer and hardware interfaces, such as DMA, AXI, SPI, I2C and JESD204B.
- Experience in hardware characterization, performance optimization, and real-time signal processing would bean advantage.
More Info
Key Skills
Xilinx platforms
PetaLinux
JESD204B
high-speed data transfer
real-time signal processing
hardware characterization
STM32 microcontrollers
FPGA-based embedded systems
About Company
Skills:
Statistical Analysis, C#, Unity, Python, Robotic interaction techniques, Live speech recognition, Academic manuscript preparation, Qualitative data analysis, Hand tracking, Interface prototyping, Academic research literature survey, User experimental design, Robotic simulation studies, Scene-graph representation, eye tracking
Skills:
C++, Ubuntu, Python, Robot navigation, VLA training, Annotation of training data, Machine learning for robotics, data acquisition, Model training, Social force modeling, Linux command line, Robotics simulation, Integration of VLA models into robotics simulators, Finetuning of models