Position Details
About this role
This role involves designing and deploying machine learning inference engines on FPGA/ASIC hardware, optimizing neural networks, and working on hardware-software co-design remotely in fintech and research sectors.
Key Responsibilities
- Design ML inference engines
- Optimize neural networks for FPGA/ASIC
- Implement hardware-software co-design
- Deploy low-latency AI models
- Collaborate on hardware acceleration projects
Technical Overview
The technical scope includes FPGA/ASIC hardware design, neural network optimization, RTL development, and deployment using tools like Quartus and Vivado, with expertise in C++, Verilog, and VHDL.
Ideal Candidate
The ideal candidate is a senior ML engineer with expertise in FPGA, ASIC, and neural network deployment, proficient in C++, Python, Verilog, and VHDL, capable of designing and optimizing ML inference engines on hardware platforms remotely.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of FPGA or ASIC experience, No proficiency in C++, Verilog, or VHDL, Inability to work remotely, No experience with neural network optimization
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