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Engineer, AI Computing

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Onsite

Engineer, AI Computing

Black Sesame Technologies (Singapore) Pte Ltd

Engineer, AI Computing

Skills

PythonPyTorchTensorFlowMachine LearningAI

20 days ago

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Important information


Contract type:

Permanent, Temporary

Work mode:

Onsite

Published on:

30 September 2026

What they need


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.

Black Sesame Technologies is a leading automotive-grade computing SoC and SoC-based intelligent vehicle solution provider. Since our founding in 2016, we have been committed to driving innovation and pushing the boundaries of intelligent vehicle technology. In 2024, we proudly marked a significant milestone by being officially listed on the main board of the Hong Kong Stock Exchange (stock code: 2533.HK). Our journey began with the Huashan Series high-computing power SoCs designed for autonomous driving, and in 2023, we introduced the Wudang Series cross-domain SoCs to meet the increasingly diverse and sophisticated demands of intelligent vehicles, while also expanding into broader application areas. Our proprietary automotive-grade products and technologies empower intelligent vehicles with mission-critical capabilities such as autonomous driving, smart cockpit, advanced imaging, and connectivity.

At Black Sesame Technologies, we not only provide robust SoCs and SoC-based solutions powered by our in-house developed IP cores, algorithms, and support software, but we also bring full-stack autonomous driving capabilities to meet a wide range of customer needs. We are committed to fostering a culture of innovation, where our employees are empowered to push boundaries and develop cutting-edge technology. Our people are at the core of our success, and we offer competitive compensation, growth opportunities, and a collaborative environment to ensure everyone thrives. We believe that innovation drives the future, and everything we do is aimed at making the future of intelligent vehicles safer, smarter, and more efficient for our customers.

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