• Lead Ampere’s research initiatives to develop and implement LLM-based AI models 
• Research model-level optimization techniques for efficient AI inference 
• Help with implementation, testing and evaluating the performance of these models and algorithms across heterogenous hardware architectures 
• Explore and assess AI technologies and methodologies to advance our platforms. 
• Collaborate cross-functionally with Software/Hardware Engineering and Pathfinding teams to integrate AI solutions into Ampere’s product offerings. 
• Prepare and present updates on AI projects to senior leadership. 

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s or PhD preferred. 
• 7+ years of hands-on experience in AI model research & development, including experience with machine learning and large-scale data systems. 
• Previously published research in peer-reviewed journals on relevant AI algorithms. 
• Expertise in AI frameworks, architectures, tools and programming languages (such as Python, TensorFlow, PyTorch), and data analytics. 
• Exceptional analytical and problem-solving abilities 
• Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders. 
• Ability to work effectively in a cross-functional team environment. 

• Premium medical, dental, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
• Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
• A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are passionate about inventing industry leading cloud-native designs that contribute to a more sustainable future. We are excited to share more about our career opportunities with you through the interview process.