Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
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