Artificial Intelligence Hardware Engineer

10xTalents; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

An innovative AI start-up based in New York is seeking an experienced Artificial Intelligence Hardware Engineer to design and optimize cutting-edge hardware systems for AI applications. This role offers the opportunity to collaborate on innovative projects with cross-functional teams and external partners while staying ahead of technology trends. The ideal candidate will have a solid background in hardware design, deep learning, and excellent problem-solving skills. This hybrid position accommodates flexibility in work location.

Qualifications

• Minimum 3 years experience in hardware design and optimization for AI.
• Proficiency in hardware description languages and design tools.
• Strong understanding of deep learning algorithms and their hardware needs.

Responsibilities

• Design and develop custom hardware architectures for AI.
• Implement algorithms for hardware acceleration techniques.
• Conduct performance analysis of AI hardware systems.

Skills

Hardware design

Deep learning

Communication

Problem-solving

Education

Bachelor's degree in Computer Engineering or related field

Master's or Ph.D. preferred

Tools

FPGA

ASIC

Verilog

VHDL

TensorFlow

PyTorch

Job description

Artificial Intelligence Hardware Engineer

About the job Artificial Intelligence Hardware Engineer

Artificial Intelligence Hardware Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Hardware Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and optimizing hardware systems specifically tailored for artificial intelligence (AI) applications. The ideal candidate will have a strong background in computer engineering, deep learning, and hardware design, with a passion for pushing the boundaries of AI technology.

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. Master's or Ph.D. preferred.
• 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.
• Experience with project management and product development lifecycle is a plus.