We are seeking a highly skilled ML Research Engineer - Hardware Codesign to join our team. As a key member of our research organization, you will design and develop hardware accelerators for machine learning models, collaborating with research engineers and hardware experts to optimize performance and efficiency. You will work closely with our software and hardware teams to integrate your designs into our production systems.
Key Responsibilities:
- Design and develop hardware accelerators for machine learning models, including FPGA and ASIC designs.
- Collaborate with research engineers and hardware experts to optimize performance and efficiency of hardware accelerators.
- Work closely with software teams to integrate hardware accelerators into production systems.
- Develop and maintain Verilog and other hardware design languages.
- Conduct experiments and analyze results to evaluate performance and efficiency of hardware accelerators.
Requirements:
- Ph.D. in Computer Science, Electrical Engineering, or related field.
- Strong background in machine learning, computer architecture, and hardware design.
- Experience with FPGA and ASIC design, including Verilog and other hardware design languages.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced research environment.