Senior / Staff Software Engineer, Infrastructure
May 30
🔄 Hybrid – San Francisco
Description
• 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
Requirements
• 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
Benefits
• Competitive perks & benefits • Equity incentive awards • Annual performance bonus
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