We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Artificial Intelligence Hardware Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for an . Artificial Intelligence Hardware Engineer. in the . United States. .. This is an exciting opportunity for an engineer passionate about advancing the next generation of AI hardware. You will play a key role in designing, developing, and optimizing specialized hardware architectures tailored for machine learning and deep learning workloads. Working closely with software and research teams, you’ll help build efficient, high-performance systems that power cutting-edge AI applications. This role combines deep technical expertise in hardware design, AI acceleration, and system optimization with a creative approach to solving complex engineering challenges. It’s a chance to shape the future of intelligent computing in a fast-moving and collaborative environment.. . Accountabilities. Design and develop custom hardware architectures optimized for AI algorithms, including neural network accelerators and SoC solutions.. Collaborate with cross-functional teams to align hardware specifications with AI software requirements and system performance goals.. Implement and optimize algorithms for hardware acceleration through parallel processing, pipelining, and memory management techniques.. Conduct detailed benchmarking and performance analysis to ensure scalability, power efficiency, and reliability of AI hardware systems.. Work with software engineers to integrate hardware solutions into existing AI frameworks and development pipelines.. Research emerging technologies in AI hardware design, evaluating new approaches and contributing to innovation initiatives.. Document specifications, designs, and testing methodologies for internal and external stakeholders.. Mentor junior engineers and contribute to a culture of continuous improvement and technical excellence.. . Bachelor’s degree in Computer Engineering, Electrical Engineering, or related field (Master’s or Ph.D. preferred).. Minimum of 3 years of experience in hardware design and optimization for AI or high-performance computing applications.. Proficiency in hardware description languages (Verilog, VHDL) and experience with FPGA or ASIC development tools.. Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and their hardware acceleration needs.. Experience with GPU, FPGA, or ASIC acceleration for AI inference and training.. Knowledge of system-level design, including power, thermal, and performance optimization considerations.. Excellent analytical and problem-solving skills with a creative, innovation-driven mindset.. Strong communication and teamwork abilities, comfortable working in multidisciplinary environments.. Experience with full product development cycles or project management is a plus.. Company Location: United States.