- Conduct deep learning on algorithm research, FPGA/hardware design, or software/firmware and driver development, board bring-up and new hardware enablement on RTOS or Linux
- Research and Development on machine learning, computer vision and image processing algorithm
- Modelling and simulating of software for hardware implementation.
- Software optimization for efficient execution
- Tool chain development for DNN Accelerator/AI chip design
- Participating in AI system design and implementation for commercialization
- PhD holder or Master’s degree in Computer Science / Electrical Engineering / Information Engineering or relevant disciplines with minimum 3 years of related experiences. Candidates with less experience may also be considered.
- Research and development experiences in machine learning, computer vision, image processing or artificial intelligent relevant areas is highly preferred
- Familiarity with deep learning libraries, GPU programming, OpenCV/OpenCL, FPGA design or embedded system is a plus.
- Professional background in at least one of the following areas: machine learning, computer vision, image processing, FPGA design, firmware development, compiler is highly preferred
- Experience indebugging hardware issues is highly preferred
- Familiar with SoC level software development and embedded CPU architecture (ARM, RISCV, MIPS or other architectures) is a plus
- Experience with embedded Linux and/or RTOS development, deep learning framework including TensorFlow, PyTorch, Caffe is a plus
- Working knowledge of embedded system interface including I2C, SPI, USB and PCIE is preferred.
- Experience with ML acceleration including Compression, Pruning, Quantization is a plus
- Strong programming skills of at least one of the following languages: Python, C/C++, Matlab, Verilog, System Verilog is a plus
- Familiarity with open source libraries including OpenCV, OpenCL, Caffe, Tensorflow, PyTorch, FFMPEG is a plus.
- Team player with good analytical and strong communication skills.
The appointment will be on renewable contract terms with a competitive salary and performance-linked variable pay. Fringe benefits include paid leave, medical and dental benefits, insurance coverage and contribution to MPF. The incumbent will normally work a five-day week.
Interested candidates, please send an application (quoting Ref. No.) with a detailed resume, current and expected salary to Talent Acquisition via email to [email protected]
The application will be open until the position is filled. Only short-listed candidates will be notified. ASTRI reserves the right not to fill the position.
ASTRI is an Equal Opportunities Employer. Personal data provided by job applicants will be used exclusively for recruitment only.