Position Overview:
Black Sesame Technologies is seeking a talented and innovative Architect, AI Computing with expertise in software/hardware co-design to drive advancements in autonomous driving technologies.
This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.
Responsibilities:
Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.
Qualification/ Requirements:
Education: Master's or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
Experience: Proven experience in developing and analyzing machine learning algorithms.
Programming Skills: Proficiency in programming languages such as Python and C++.
ML Frameworks: Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.