Baidu

About Baidu

Leading AI and Internet services in China

🏢 Tech👥 10K-50K📅 Founded 2000📍 Bei Jing Shi, China

Key Highlights

  • Over 500 million daily active users on Baidu Search
  • Headquartered in Beijing's Haidian District
  • Raised over $20 billion since its IPO in 2005
  • Apollo platform for autonomous driving solutions

Baidu, Inc. is a leading Chinese technology company specializing in Internet-related services, AI, and autonomous driving solutions. With over 500 million daily active users, Baidu's flagship product, Baidu Search, dominates the Chinese search engine market. Headquartered in Beijing's Haidian Distri...

🎁 Benefits

Baidu offers competitive salaries, stock options, generous PTO, and a flexible remote work policy. Employees also benefit from health insurance, paren...

🌟 Culture

Baidu fosters a culture of innovation and technological advancement, focusing heavily on AI and machine learning. The company values research and deve...

Baidu

Machine Learning Engineer Senior

BaiduSunnyvale - On-Site

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Overview

Baidu is hiring a Machine Learning System Hardware Architect to design high-performance machine learning silicon and systems. You'll work with cutting-edge AI technologies in Sunnyvale. This position requires expertise in machine learning and hardware architecture.

Job Description

Who you are

You have a strong background in machine learning and hardware architecture — your experience includes designing and simulating high-performance systems that push the boundaries of performance, power, and latency. You thrive in a collaborative environment, working closely with cross-functional teams to optimize hardware and software solutions for AI applications.

You are a motivated self-starter who is eager to learn and grow — you keep up with industrial and academic trends in artificial intelligence and understand how they can intersect with product roadmaps. Your ability to evaluate the power, performance, and cost of prospective architectures makes you a valuable asset to any team.

You possess excellent problem-solving skills and a passion for innovation — you enjoy tackling complex challenges in the AI industry and are driven to create differentiated architectural innovations. Your team-oriented mindset allows you to work effectively in small, fast-moving teams, where you support and encourage your colleagues.

Desirable

Experience with distributed AI training tasks and familiarity with Kunlun Accelerators would be a plus. A background in evaluating advanced AI technologies and driving partnerships for access to these technologies will set you apart.

What you'll do

As a Machine Learning System Hardware Architect at Baidu, you will architect and create high-performance machine learning silicon — your role involves connecting thousands of Kunlun Accelerators for distributed AI training tasks. You will collaborate with a world-class team to design and optimize hardware and software solutions that maximize performance.

You will monitor industrial and academic trends in artificial intelligence, ensuring that your work aligns with the latest advancements in the field. Your responsibilities will include developing system-level ML architectures and building scalable tools for modeling, which will be crucial for the success of Baidu's AI machine learning products.

You will also evaluate the power, performance, and cost of prospective architecture and subsystems, driving innovations that will impact the AI industry significantly. Your contributions will help shape the future of AI silicon and systems at Baidu.

What we offer

Baidu provides a supportive environment where you can thrive and grow your skills. You will have access to the best possible platform to accomplish your goals and make a meaningful impact in the AI industry. We encourage you to apply even if your experience doesn't match every requirement — your eagerness to learn and contribute is what matters most.

Join us in Sunnyvale and be part of the AI revolution, working alongside talented individuals who are passionate about pushing the boundaries of technology.

Interested in this role?

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