Engineer, AI Computing

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Black Sesame Technologies seeks an Engineer, AI Computing to advance autonomous driving by bridging ML algorithms with hardware design and delivering high-performance AI-driven system solutions.

The role requires collaboration with chip architects, proficiency in Python and C++, and hands-on experience with TensorFlow and PyTorch on hardware accelerators, plus strong documentation.

Qualifications

• Master’s or PhD degree in CS/EE with ML focus.
• 2+ years of ML algorithm development and analysis.
• Proficient in Python and C++.

Responsibilities

• Research and analyze ML algorithms for autonomous driving applications.
• Evaluate AI model and operator memory and compute needs.
• Collaborate with chip architects on co-designed software/hardware solutions.
• Develop clear technical docs and demonstrations of AI hardware concepts.
• Monitor AI industry trends to identify innovations.
• Engage with academic and industry communities on AI advances.

Skills

Python

C++

Team collaboration

Communication

Education

Master's or PhD in Computer Science or Electrical Engineering

Tools

TensorFlow

PyTorch

Job description

Company Overview

Black Sesame Technologies is a leading automotive-grade computing SoC and intelligent vehicle solution provider. Founded in 2016 and listed on the Hong Kong Stock Exchange, it drives innovation in autonomous driving, smart cockpit, imaging, embodied AI and connectivity technologies.

Job Summary

Black Sesame Technologies seeks an Engineer, AI Computing to advance autonomous driving by bridging machine learning algorithms with hardware design, delivering high-performance, efficient AI-driven system solutions.

Responsibilities

• Conduct in-depth research and analysis of machine learning algorithms focused on autonomous driving applications to drive innovation.
• Evaluate computational and memory requirements of AI models and operators to identify and implement optimization opportunities.
• Collaborate with chip architects and engineers to design and implement software/hardware co-designed solutions that improve chip performance, efficiency, and scalability.
• Develop clear technical documentation and presentations to communicate complex AI and hardware concepts to diverse audiences.
• Monitor and analyze AI industry trends to identify innovation opportunities and guide strategic development.
• Engage actively with academic and industry research communities to stay updated on AI and machine learning advancements.

Required competencies and certifications

• Master’s or PhD degree in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Minimum 2 years of experience developing and analyzing machine learning algorithms.
• Proficiency in programming languages including Python and C++.
• Hands‑on experience with machine learning frameworks such as TensorFlow and PyTorch, including deployment on hardware accelerators.
• Demonstrated ability to collaborate effectively in cross-disciplinary, team-oriented environments.

Preferred competencies and qualifications

• Strong understanding of software/hardware co-design principles and their impact on system performance.