Autonomous Driving ML Architect - Software/Hardware Co-Design

Black Sesame Technologies (Singapore) Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Black Sesame Technologies in Singapore is seeking a talented Machine Learning Research Scientist/Architect with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role bridges ML algorithms and hardware design to deliver high-performance, efficient AI-driven systems, working closely with chip architects and engineers.

You will develop cutting-edge models, evaluate hardware requirements, and communicate complex concepts to technical and

Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering, or a related field with ML focus.
• Proven experience in developing and analyzing ML algorithms.
• Proficiency in Python and C++.
• Hands-on experience with TensorFlow and PyTorch and deploying on hardware accelerators.
• Ability to work in a cross-disciplinary team.
• Strong communication and documentation skills.

Responsibilities

• Conduct research and analysis of ML algorithms for autonomous driving.
• Forecast AI technology industry trends to identify opportunities for innovation.
• Evaluate computational and memory requirements of AI models and operators.
• Collaborate with chip architects to design software/hardware co-designed solutions for better chip performance.
• Develop technical documentation and presentations for technical and non-technical audiences.
• Engage with academic and industry communities to stay at the forefront of AI advancements.

Skills

Python

C++

TensorFlow

PyTorch

Co-design

Collaboration

Machine Learning

Education

Master’s or PhD in CS/EE

Tools

Hardware accelerators

Job description

Black Sesame Technologies in Singapore is seeking a talented Machine Learning Research Scientist/Architect with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role bridges ML algorithms and hardware design to deliver high-performance, efficient AI-driven systems, working closely with chip architects and engineers.

You will develop cutting-edge models, evaluate hardware requirements, and communicate complex concepts to technical and