AI Hardware Accelerator Engineer
SKILLS
FULL DESCRIPTION
Summary
Develop and optimize hardware accelerators for AI workloads. Collaborate with software teams to integrate AI solutions. Research and implement FPGA, ASIC, and GPU technologies. Test and improve the efficiency of hardware designs. Communicate technical findings to cross-functional teams.
Key Responsibilities/Duties:
- Develop and optimize hardware accelerators for AI workloads.
- Collaborate with software teams to integrate AI solutions.
- Research and implement FPGA, ASIC, and GPU technologies.
- Test and improve the efficiency of hardware designs.
- Communicate technical findings to cross-functional teams.
Core Requirements/Qualifications/Skills:
- Experience with hardware design tools (e.g., Verilog, VHDL).
- Knowledge of AI frameworks and hardware acceleration.
- Strong understanding of FPGA/ASIC design principles.
- Excellent analytical and communication skills.
- Bachelor’s or Master’s in Hardware Engineering, AI, or related field.
Responsibilities:
Develop and optimize hardware accelerators for AI workloads. Collaborate with software teams to integrate AI solutions. Research and implement FPGA, ASIC, and GPU technologies. Test and improve the efficiency of hardware designs. Communicate technical findings to cross-functional teams.
Requirements:
Experience with hardware design tools (e.g., Verilog, VHDL). Knowledge of AI frameworks and hardware acceleration. Strong understanding of FPGA/ASIC design principles. Excellent analytical and communication skills. Bachelor’s or Master’s in Hardware Engineering, AI, or related field.