Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality. We are looking for an Onboard Infrastructure Engineer to join our Autonomous Driving team. In this role, you will be responsible for developing and maintaining the onboard infrastructure that supports autonomous vehicle systems, ensuring reliable communication, data management, and system integration. You would work on critical infrastructure projects for autonomous driving systems, such as implementing middleware/ROS core functionalities, conducting optimizations to reduce latency and improving system determinism. You will play a critical role in designing and optimizing the architecture that handles real-time data from sensors and computing hardware. This is a unique opportunity to work at the intersection of hardware, software, and real-world autonomous driving technology. Key Responsibilities Design and implement onboard infrastructure modules (sensor driver, health management) to support real-time autonomous driving applications, ensuring computing efficiency, and SW reliability in resource demanding environments. Monitor system performance and implement tools for diagnostics, logging, and recovery to ensure stable vehicle operations. Optimize the deployment of autonomous driving software to embedded systems and onboard computing platforms. Qualifications

• Drive the design, implementation, and continuous improvement of cloud infrastructure. • Translate strategic cloud objectives into operational execution. • Lead the design and implementation of complex cloud infrastructure solutions. • Develop and enforce cloud architecture standards and operational procedures. • Manage cloud cost optimization initiatives.

• Create, articulate, and position an innovative and compelling value proposition to help customer executives understand the benefits and transformational value of migrating to AWS. • Define and execute technical migration and modernization strategies in collaboration with highly technical teams. • Deliver modern architectures, including microservices and event-driven architectures, using managed services and cloud-native capabilities. • Engage with customer development, infrastructure, security, and IT operations teams to identify repeatable patterns and architectures for cloud migration. • Identify platform improvements and influence future iterations of the AWS platform and the Migration Acceleration Program.

• Design, host, manage, and support AWS-based AI and application infrastructure in production environments. • Architect and manage MCP Servers hosted on AWS, ensuring scalability, availability, and security. • Deploy and manage containerized workloads using Docker on ECS, EKS, and Fargate. • Support and administer core AWS infrastructure including EC2, networking, and security configurations. • Work with AWS AI services, including Amazon Bedrock and Amazon SageMaker, to support AI/ML workloads. • Manage and support AWS databases (both managed and self-hosted) for application and AI use cases. • Implement and maintain DevOps practices, CI/CD pipelines, and infrastructure automation in AWS. • Configure and manage API Gateway, including secure access, integrations, and authorization. • Ensure AWS environments follow best practices for security, IAM roles and policies, scalability, and reliability. • Monitor, troubleshoot, and resolve production issues across AWS platforms. • Provide AWS platform administration and ongoing support. • Document system architectures, deployment processes, runbooks, and operational procedures.