Innovative Reliability Engineer for High-Performance AI Solutions

Transform AI architectures as a Reliability Engineer focused on performance. Drive enhancements in ML hardware/software systems, prioritizing power efficiency and reliability across cutting-edge applications.

This opportunity allows you to work on advanced machine learning systems within a pioneering team. You will analyze ML workloads and performance impacts while creating software solutions to optimize system reliability. Engage with various teams to influence future designs and enhance AI functionality effectively through rigorous computational analysis.

Key Responsibilities:

• Enhance performance of ML hardware and software
• Analyze impacts of workloads on power and performance
• Develop and implement reliability solutions
• Drive design innovations through analysis
• Collaborate with teams across architecture and research

Requirements:

• BS, MS, or PhD in Computer Science or related
• 3+ years experience in performance engineering
• Proficiency in Python and C/C++ programming
• Familiarity with ML models and frameworks desired
• Strong verbal and written communication skills

Utilize your skills to influence the future of AI technology, ensuring leading performance and reliability as part of an innovative engineering team.