• We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting cloud systems but is also well balanced with physical equipment knowledge
• While this role will be primarily focused on cloud systems, the candidate should also be well versed in physical computing and networking with hands on experience to effectively diagnose performance issues in cloud as well as assist with vehicle and on-prem computing needs
• BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience
• 5+ years of industry experience- Experience working with public cloud platforms (AWS preferred)
• Experience with infrastructure as code systems (Terraform preferred)
• Experience with configuration management (Ansible preferred) and system administration
• Familiarity with cloud security concepts, credential management, IAM systems, and data security
• Experience with containers and container orchestration (i.e., Docker, ECS, Kubernetes)
• Experience with CI/CD pipelines and release management- Experience with on-premise servers, network equipment and storage systems
• Experience in Linux kernel (performance tuning, low level debugging, hardening)
• Some experience in reading and developing production quality software
• Open-minded and collaborative team player with the willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
• Able to travel occasionally to United States

Desirable

• The ideal candidate would actively improve our machine learning infrastructure, CI systems, and software delivery
• Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale
• Manage machine learning infrastructure, model pipelines, training platforms, data infrastructure and ML tools
• Work on multiple projects designing, building, deploying tools, systems and infrastructure
• Collaborate with hardware team on vehicle compute and network designs
• Work with software and hardware teams on OS and software delivery into vehicles
• Assist with vehicle compute and network performance tuning and general diagnostics as needed
• Work with software and hardware teams to implement and maintain high volume data pipelines