特斯拉Sr. Site Reliability Engineer
任职要求
• 5+ years of experience managing web-scale infrastructure in a production *nix environment. • Extensive hands-on experience administering and tuning Kubernetes clusters in production, including the use of ArgoCD, Helm, and other cloud-native orchestration tools. • Deep understanding of container-based workloads and cloud-native architectures. • Advanced skills in Linux administration, system internals, networking stack, filesystems, resource scheduling, and process management. • Advanced experience with configuration management and Infrastructure-as-Code tools such as Ansible, Terraform, or Puppet. • Proven experience with AWS or other major cloud infrastructure providers. • Proficiency in high-level programming languages (Python, Go, Ruby, and/or Java). • Strong track record of p…
工作职责
THE ROLE Tesla's Platform Engineering is looking for a Site Reliability Engineer to join our team. As a member of the team, you will be building and maintaining Kubernetes clusters using infrastructure-as-code tools like Ansible, Terraform, ArgoCD and Helm and helping the application teams to be successful on our platform. The underlying infrastructure is a a mix of on-premises VMs, bare metal hosts and public clouds such as AWS located all around the globe, which presents unique challenges and opportunity to work with different types of infrastructure technologies. A successful candidate will be expected to possess expert knowledge in Linux fundamentals, architecture and performance tuning; as well as software development skills to match. Experience running Kubernetes in production will be a strong plus. We prefer Golang or Python for any automation or tools we have to build along the way. We are the team that runs production critical workloads for every aspect of the business at Tesla and sets the standards for other teams, a group of well-rounded generalists that not only solve the hardest problems in the industry but also push other engineering teams at large to be better. RESPONSIBILITIES • Manage our Kubernetes clusters on-prem and in the cloud to support our growing workloads. • Participating in the architecture design process and troubleshooting of live applications with the product teams. • Participating in a 24x7 on-call rotation. • Influence architectural decisions with focus on security, scalability and high-performance. • Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting. • Authoring technical documentation for workflows/processes/best practices.
STM (Site Technical Manager) is the single threaded owner for manufacturing technical issues for assigned projects with our Contract Manufacturers, focus on: - Ensure technical readiness for product ramp and serve as manufacturing engineering owner for product PVT and mass production. - Driving manufacture test flow optimization, process and yield improvements to exceed our volume production goals. - Define the manufacture process qualification criteria, manage the qualification activities, and complete the documentation. - Leading our efforts for root cause and corrective action for all manufacturing process related issues, dive deep to analyze the problems found both in and out of the factory. - Participation in design & planning through DFM, Line balancing , as well as Process Yield, Capacity and Cost Modeling. - Work with CM’s engineering teams to identify and escalate manufacturing challenges by enforcing DFM and DFT principles. - Review and approval of Fixtures Designs & Qualification (FATP, Device build) - Review and execute Manufacturing Test Coverage Documents to ensure new products launch. - Work with sustaining engineering team on the opportunities to improve our product, owns the technical readiness of PRQ in CMs. - Periodically audit the CM for manufacture process quality management system.
- Drive two-digital revenue and market share growth within assigned strategic/named accounts in the Logistics sector - Develop and execute comprehensive account plans and manage all key customer relationships, including strong C-level engagement - Accelerate customer adoption by identifying new opportunities, expanding existing usage, and leading customers through cloud migration journeys - Maintain a robust customer pipeline with accurate forecasting and reporting - Manage complex contract negotiations and work with partners to extend reach and drive adoption
The Role We are Tesla Energy Team. We are building highly distributed energy network to support company vision of accelerate world’s transition to a sustainable energy. The Energy Team is seeking hardworking and passionate software engineers as various levels. Responsibilities • Design and develop high quality, scalable and stable back-end services. • Develop back-end web services. • Follow Tesla’s high standards for security-best practices in all development. • Partner closely with security team for code analysis and design reviews. • Perform unit testing. • Process bug reports and release fixes. • Participate in code reviews. • Participate in agile processes. • Always think innovatively to solve customer problems.
OverviewThe Data and AI team in Microsoft CoreAI is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot through VSCode, Visual Studio, Github.com and Azure. We are seeking an entrepreneurial and creative Senior Research Scientist to lead cutting-edge projects from concept to product. In this role, you will collaborate with scientists, engineers, and designers across Microsoft Research, Microsoft product teams, and GitHub. You will have the opportunity to build and train state-of-the-art models, apply and advance techniques for leveraging LLMs in software engineering, including RAG and evaluation, and partner closely with developer product teams to run large scale experiments, evaluate results, and continuously improve AI solutions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities• Lead the development and evaluation of state-of-the-art models for code completion and editing, pushing the boundaries of code understanding, generation, fix and review. • Develop retrieval-augmented systems that improve a model’s awareness of large and complex codebases, enabling context-rich code assistance. • Design and prototype efficient inference algorithms to enable fast, interactive code generation experiences at scale. • Collaborate across disciplines with product teams across Microsoft and Github • Stay up to date with the research literature and product advances in AI for software engineering