安克创新After-Sales Technical Support Engineer

1.Provide technical support in the sales process, including product introduction, demand analysis, solution design, PoC support, product testing, and draft technical proposal or related technical documentation to support the sales process. Responsibility also includes project status updates, risk analysis through PoC and customer feedback. 2.Support for project delivery of SenseTime AI solutions and provide development guidance to customers and partners in the process of system integration. 3.Ad-hoc technical support and help trouble shooting to solve technical issues, via efficient internal communication with remote R&D teams. 4.Train and guide customers to utilize SenseTime solutions to meet their requirements. Provide feedbacks to product and R&D team to help continual iterations. 5.Support for after sales request and optimize related workflow with HQ A/S team to complete local after sales service for local customers.

1.Provide technical support in the sales process, including product introduction, demand analysis, solution design, PoC support, product testing, and draft technical proposal or related technical documentation to support the sales process. Responsibility also includes project status updates, risk analysis through PoC and customer feedback. 2.Support for project delivery of SenseTime AI solutions and provide development guidance to customers and partners in the process of system integration. 3.Ad-hoc technical support and help trouble shooting to solve technical issues, via efficient internal communication with remote R&D teams. 4.Train and guide customers to utilize SenseTime solutions to meet their requirements. Provide feedbacks to product and R&D team to help continual iterations. 5.Support for after sales request and optimize related workflow with HQ A/S team to complete local after sales service for local customers.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

1. Responsible for the technical development plan （system integration、system matching、function definition、etc.)，design guidebook，DFMEA and system standard preparation of the fully active suspension system; 2. Responsible for full active suspension system architecture and hardware sizing； Includes active damper sizing and motor pump unit spec.design review； Oil tube sizing and valves selection based on vehicle technical specification for full active suspension system function and NVH requirements; 3. Responsible for product definition of fully active suspension system and sub-components，proposing design requirements and standards for sub-components（such as fully active shock absorbers、motor pumps unit and oil Tube etc.), and collaborating with suppliers to optimize and design design schemes; 4. Responsible for developing DV & PV test projects，part verification，and problem tracking for fully active suspension；analyzing and solving bench test issues during development，vehicle-level assembly，performance，NVH，durability，and other issues; 5. Responsible for dynamic perception and technical exploration in the new technology field of fully active suspension; introducing new concepts，solutions，and technologies for innovative design and optimization of active suspension systems.