Senior Staff AI Infrastructure Site Reliability Engineer
May 2
🏢 In-office - Bay Area
Description
• Architect and lead the development of scalable, secure AI infrastructure on cloud-native platforms to support autonomous driving technologies • Collaborate closely with ML teams to facilitate seamless integration and optimal performance of AI algorithms • Identify and address system bottlenecks and instabilities, applying innovative solutions to enhance system reliability and efficiency • Foster technological advancements through research and implementation of state-of-the-art AI tools and methodologies • Act as a key technical leader and mentor, promoting a culture of technical excellence and collaborative innovation within the AI infrastructure team
Requirements
• Bachelor's or Master's in Computer Science, Engineering, or related technical field • 5 - 8 years + of experience in in designing, deploying, and managing GPU clusters for high-performance computing in AI applications, particularly within cloud environments • Proficient in cloud services (AWS, Azure, ALI Cloud) and building containerized applications using Kubernetes and Docker • Strong programming skills in Python, Golang, and experience with AI/ML frameworks (TensorFlow, PyTorch)
Benefits
• A fun, supportive and engaging environment • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving • Opportunity to work on cutting edge technologies with the top talent in the field • Competitive compensation package • Snacks, lunches and fun activities
Apply Now
