Staff AI Infrastructure Engineer, Normal Computing

• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• 6+ years of experience in infrastructure engineering, with a focus on machine learning, distributed systems, and cloud computing
• Experience writing highly performant services and strong knowledge of Golang and/or Python
• Specific expertise with managing and evolving Kubernetes in production and any cloud platform like GCP, AWS, Azure
• Expertise in monitoring & alerting, scalable testing, automation, CI/CD frameworks and best practices, infrastructure-as-code (Terraform, CloudFormation), and configuration management tools (Ansible, Puppet, Chef)
• Leadership and collaboration qualities, enthusiasm for real-world, responsible impact
• Excellent problem-solving and “getting things done” skills, and a proven ability to troubleshoot and optimize complex systems
• Strong written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders across research and product

Desirable

• As a Staff AI Infrastructure Engineer, you will play a pivotal role in leading and managing infrastructure projects from training to production, mentoring team members, and influencing the strategic direction of our AI and hardware engineering initiatives
• Collaborating closely with software and research engineers to optimize and productionize training, experimentation, and enterprise product deployment infrastructure
• Designing, implementing, and maintaining individual microservices that collectively form complex, scalable backend systems
• Implementing tools, libraries and frameworks to speed up and enable new research and productization
• Be a part of planning and performing rapid prototyping of machine learning techniques applied to real-world scientific and enterprise semiconductor design and engineering problems
• Make improvements to model architectures, training, simulation, and compilation procedures
• Practice sustainable incident response and blameless postmortems
• Staying up-to-date with the latest advancements in AI, ML, and infrastructure technologies
• Mentoring and guiding junior colleagues, nurturing a collaborative, growth-oriented environment that promotes knowledge sharing and professional development