Artificial Intelligence Hardware Engineer

4 Staffing Corp is an innovative AI start-up seeking a highly skilled Artificial Intelligence Hardware Engineer to join their dynamic team. In this role, you will design, develop, and optimize hardware systems tailored for AI applications, collaborating with cross-functional teams and driving innovation in AI hardware solutions.

Responsibilities:

• Collaborate with cross-functional teams to understand AI application requirements and hardware specifications
• Design and develop custom hardware architectures optimized for AI algorithms, including neural network accelerators, specialized processors, and system-on-chip (SoC) solutions
• Implement and optimize algorithms for hardware acceleration, utilizing techniques such as parallel processing, pipelining, and memory optimization
• Conduct performance analysis and benchmarking of AI hardware systems to ensure optimal efficiency and scalability
• Work closely with software engineers to integrate hardware solutions into AI frameworks and platforms
• Research and evaluate emerging technologies and industry trends in AI hardware design, staying abreast of advancements in deep learning algorithms, hardware accelerators, and system architectures
• Collaborate with external partners, vendors, and research institutions to drive innovation and develop cutting-edge AI hardware solutions
• Document design specifications, performance metrics, and implementation details for internal and external stakeholders
• Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team

Requirements:

• Bachelor's degree in Computer Engineering, Electrical Engineering, or related field
• Proven experience in hardware design, development, and optimization for AI applications, with a minimum of 3 years in a relevant role
• Proficiency in hardware description languages (e.g., Verilog, VHDL) and experience with hardware design tools and methodologies (e.g., FPGA, ASIC)
• Strong understanding of deep learning algorithms and frameworks (e.g., TensorFlow, PyTorch) and their hardware implementation requirements
• Experience with hardware acceleration techniques and technologies (e.g., GPU, FPGA, ASIC) for AI inference and training
• Familiarity with system-level design considerations, including power management, thermal constraints, and performance optimization
• Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions
• Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment
• Master's or Ph.D. preferred
• Experience with project management and product development lifecycle is a plus