Job Opportunity
We are seeking a highly skilled qualified to contribute to an innovative project focused on accelerating ternary neural networks using FPGA devices.
About the Role
The successful candidate will have significant experience in machine learning, FPGA design, and a strong track record in conducting machine learning research.
Main Responsibilities
Deliver outcomes in a research project and ensure that milestones are met.
Collaborate with colleagues and postgraduates within the project.
Prepare materials for publications in journals and conferences.
Cultivate relationships with industry partners and leaders in the field of FPGA-based machine learning accelerators.
About You
You must possess strong experience in FPGA design, machine learning, or a related field.
In this case, a PhD (or near completion) in FPGA design, machine learning, or a related field is required.
Experience in developing machine learning models using Python and PyTorch is essential.
Expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level synthesis for FPGA design (HLS), quantisation of deep neural networks, large language models (LLMs).
Aptitude for problem-solving and analytical skills is necessary.
Sponsorship and Work Rights
You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.
📌 Senior Fpga Research Engineer
🏢 beBeeMachineLearning
📍 Sydney