Join our pioneering team as an AI/ML Performance Engineer for LLM Acceleration

where your expertise will help shape the future of artificial general intelligence (AGI) through cutting-edge hardware solutions.

Our Mission:

We are dedicated to revolutionizing AGI by focusing solely on large language models (LLMs), recognizing their unique requirements compared to other ML models. Our approach allows us to streamline our hardware and software, making AI technologies faster, better, and more cost-effective. By concentrating on LLMs, we offer optimized solutions that outperform generic platforms, setting new standards in the AI field.

About the Role:

Your mission will be to drive optimizations that enable LLMs to operate seamlessly and efficiently on cutting-edge hardware. You'll tackle challenges involving: * quality evaluations * the development of distributed infrastructure for scalable training and inference * strategic advisories on hardware optimizations for ML applications

What You'll Get:

• A highly competitive salary range
• An inclusive, supportive workplace culture
• The chance to impact the future of AI and ML technology

Key Responsibilities:

• Enhance LLM performance through hardware optimizations
• Lead quality evaluations and infrastructure development for ML scalability
• Advise on hardware design from an ML optimization perspective

We're Looking For:

• Expertise in software engineering and ML model optimization
• Experience with neural network training, particularly LLMs
• Insight into optimizing neural networks for hardware efficiency This role, based in Mountain View and requiring a hybrid work model, is perfect for those ready to influence the integration of AI and ML with hardware acceleration.

Seniority level:

Mid-Senior level

Employment type:

Full-time

Job function:

Engineering and Research

Industries:

Software Development