滴滴AI-Safety System Engineering-数据科学实习生

As a Senior Autonomous Driving System Engineer, L4, you will be central to crafting and constructing the architecture behind next-generation autonomous driving systems. Your work will involve: • Building the main stack for autonomous driving, concentrating on prediction, decision-making, planning, and control architecture. • Crafting robust system-level safety and fallback strategies within classical safety stacks. • Implementing end-to-end data-driven AV pipelines and large-scale model inference architectures. • Integrating classical and end-to-end hybrid systems, ensuring seamless scalability from research to production. • Collaborating with a world-class team of engineers to build a unified production platform that sets new standards in the industry.

For more than 25 years, NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing—and now, we’re defining the next era of AI-powered computing. From powering breakthroughs in autonomous vehicles to building the next wave of infrastructure, we grow with innovation motivated by the world’s best talent. Monitor Code Coverage and perform Static Analysis (Coverity) for NVIDIA’s AV software stack. The position entails hands-on engineering tasks, such as composing strategies, building automation, working with developers, and ensuring safety-critical systems meet quality and compliance standards. What you’ll be doing: Code Coverage Strategy & Tooling• Define, implement, and own the AV software code coverage strategy (statement, branch, MC/DC) for unit, integration, and safety reporting. • Automate coverage collection in Bazel-based builds and integrate into CI/CD pipelines (GitLab/Jenkins/GitHub Actions). • Build dashboards and reporting pipelines for developers, safety engineers, and auditors. Coverity Static Analysis• Operate incremental and full scans, automate pipelines, and implement quality gates. • Triage, classify, and handle findings—including waiver workflows and procedures that adhere to MISRA C/C++ and CERT standards. Developer & Collaborator Engagement• Partner with AV developers to resolve findings, avoid false positives, and improve adoption of coverage and static analysis practices. • Coordinate with safety, security, and compliance participants to uphold reporting consistency and audit readiness. Innovation & AI Integration• Explore ways to apply AI/LLMs for accelerating triage, generating reports, and improving developer workflows (e.g., editor plugins, code assistants).

For more than 25 years, NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing—and now, we’re defining the next era of AI-powered computing. From powering breakthroughs in autonomous vehicles to building the next wave of infrastructure, we grow with innovation motivated by the world’s best talent. Monitor Code Coverage and perform Static Analysis (Coverity) for NVIDIA’s AV software stack. The position entails hands-on engineering tasks, such as composing strategies, building automation, working with developers, and ensuring safety-critical systems meet quality and compliance standards. What you’ll be doing: Code Coverage Strategy & Tooling• Define, implement, and own the AV software code coverage strategy (statement, branch, MC/DC) for unit, integration, and safety reporting. • Automate coverage collection in Bazel-based builds and integrate into CI/CD pipelines (GitLab/Jenkins/GitHub Actions). • Build dashboards and reporting pipelines for developers, safety engineers, and auditors. Coverity Static Analysis• Operate incremental and full scans, automate pipelines, and implement quality gates. • Triage, classify, and handle findings—including waiver workflows and procedures that adhere to MISRA C/C++ and CERT standards. Developer & Collaborator Engagement• Partner with AV developers to resolve findings, avoid false positives, and improve adoption of coverage and static analysis practices. • Coordinate with safety, security, and compliance participants to uphold reporting consistency and audit readiness. Innovation & AI Integration• Explore ways to apply AI/LLMs for accelerating triage, generating reports, and improving developer workflows (e.g., editor plugins, code assistants).

The Role The IT Infrastructure Engineering & Operations team is seeking a DevOps Engineer to develop and maintain our CI/CD platform infrastructure. We are building a unified DevOps platform to support IT Applications across Supply Chain and Enterprise domains. We apply agile development on a modern, distributed system architecture to provide the operational foundation for high-volume vertically integrated 24x7 manufacturing, and sales delivery of complex, safety-critical products. Our solutions integrate tightly with business applications and enable continuous product and process improvement. Responsibilities • Develop and enhance the CI/CD platform to support IT Applications (Supply Chain, Enterprise) • Setting up SDLC infrastructure for development, support and QA teams across multiple business domains • Design and implement CI/CD pipelines using Jenkins, GitHub Enterprise, and related DevOps tools • Manage Docker & Kubernetes infrastructure and orchestration across multiple clusters • Integration and management of comprehensive DevOps ecosystem with tools such as Jenkins, Artifactory, monitoring platforms • Place an emphasis on consistent system reliability and performance for this large-scale environment • Diagnose and troubleshoot complex distributed systems handling large volumes of data and develop solutions that have significant impact at scale • Participate in building advanced tooling for platform operations, monitoring, administration across geographically distributed data centers • Work and collaborate across teams: Application services, Infrastructure, Security, and Platform teams • Setting up and supporting continuous integration and deployment pipelines • Troubleshoot issues across the entire stack - hardware, software, application and network • Authoring technical documentation for workflows, processes, and best practices Required Skills • **Kubernetes (K8S)**: Production experience with container orchestration • **Docker**: Deep understanding of containerization and image management • **CI/CD Tools**: Hands-on experience with Jenkins and/or GitHub Enterprise • **Shell Scripting**: Strong proficiency in bash/shell scripting for automation • Linux administration and system-level troubleshooting • Networking fundamentals and TCP/IP concepts • Git and repository management (GitHub Enterprise) Preferred Skills • **Python**: Strong proficiency (highly valued for platform automation and tooling) • **Golang**: Experience building cloud-native applications (bonus) • Infrastructure-as-Code (Terraform, Ansible) • Monitoring and observability tools (Grafana, Prometheus, Splunk) • Hands-on experience with open-source technologies (Grafana，Jenkins, etc.) Other