TPM/Perception/AI Compiler Position 自动驾驶芯片-黑芝麻智能科技

【认识我们】
黑芝麻智能科技有限公司成立于2016年，是行业领先的车规级自动驾驶计算芯片和平台研发企业，专注于大算力计算芯片与平台等技术领域的高科技研发。黑芝麻智能能够提供完整的自动驾驶、车路协同解决方案，包括基于车规级设计、学习型图像处理、低功耗精准感知的自动驾驶感知计算芯片和自动驾驶计算平台，支撑自动驾驶产业链相关产品方案的快速产业化落地。
黑芝麻智能全球已有超过800名员工，硅谷办公室超过100人，核心团队均来自博世、OV、英伟达、安霸、微软、高通、华为、中兴等业内顶尖公司，平均拥有15+年的行业经验。团队实力强，芯片流片成功率目前100%，人员稳定发展，积极准备IPO中。
【Company Linkedin】
【Company Website】
【工作地点】
San Jose/Singapore

目前岗位欢迎fresh phd和有相关工作经验的朋友，发送到HR邮箱： ann.gao@bst.ai
欢迎New Grad申请，学校实习经验paper会要求比较高。



【About Black Sesame Technologies】
Founded in July 2016, Black Sesame Technologies is an AI digital imaging technology firm that creates solutions for real-world AI challenges. The company has developed a radically new chip and system to dramatically accelerate deep learning applications for autonomous.
We are innovating at every level of the stack – from chip, to new algorithms and network architectures at the cutting edge of ML research. Our Core IPs navigate tradeoffs between performance, power, and area, and integrating with flexibility and programmability.  
Our software stack is co-designed with the hardware and developed with scalability and quality in mind. Join us to create revolutionary Chips from the ground up.

TPM
Responsibilities:
• Lead end-to-end program management for Core IP development projects, encompassing NPU, ISP, and other essential components within a System-on-Chip (SoC) company.
• Foster collaboration among cross-functional teams including design, architecture, verification, AI toolchain, and marketing to ensure project alignment and meet deliverable timelines.
• Provide regular updates to senior management and stakeholders on project status, risks, and mitigation strategies.
• Possess comprehensive understanding of technical intricacies in NPU, ISP, and other core IP development, as well as their integration into the broader SoC landscape.
• Proactively identify and address challenges and roadblocks, devising strategies to overcome them effectively.
• Prioritize tasks and allocate resources, balancing stakeholder needs with team capabilities.
• Ensure all designs adhere to industry best practices, quality standards, and regulatory requirements.
• Lead the development and refinement of processes and methodologies to optimize efficiency and productivity within the team, including simulator, performance model, and AI toolchain software.


AI Perception Algorithm
Responsibilities:
•         Develop deep learning based perception algorithms, including object detection, lane detection, segmentation, depth estimation, and so on.
•         Develop state of the art network structures and training schemes, and evaluate their performance on vision problems
•         Perform deep network compression based on ASIC platforms
•         Keep up with latest technologies in deep learning and computer vision literature and propose innovative ideas
•         Publish patent and research papers


Lidar Peception
Responsibilities:
•        Independent and collaborative R&D, research new solutions, implement state-of-the-art solutions, etc.
•        Software development in C/C++, Python.
•        Prepare videdemos and live demos of prototype;
•        Generate new data collection and annotation requests, guide their processes;
•        Benchmark testing and performance evaluation;
•        Deploy solutions tselected embedded platforms.


AI Compiler
Responsibilities:
•        Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.  
•        Writing software to deploy AI models and pipelines in real time applications (inference).  
•        Apply low precision inference, quantization, and compression of DNNs.  
•        Continuously improve inference latency, accuracy and power consumption of DNNs.  
•        Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas

ranulLiu@outlook.com已发送，感谢。

只招TPM吗？招不招有经验的SDE？

感谢楼主，已发邮箱。  huangqi0000@gmail.com