AMDSoftware System Design Engineer
任职要求
5+ years of industry experience (ideally with System, Server, PCIe HW, Drivers and/or Semiconductor vendors) Knowledge/experience in Linux/Windows, virtualization software (VMware, Ubuntu, et al), Programming (e.g., Python, C, C++), SW tools, Testing, Benchmarks, Workloads Prior experience with testing tools and environments, defect tracking and revision control Knowledge of general Computer Architecture concepts and silicon features Knowledge/experience of…
工作职责
THE ROLE: Radeon AI & CGVDI Customer Engineering organization works with large enterprise to enable successful deployment of Radeon GPU products in the datacenter. You will be a key member of this customer-facing team responsible for leading triaging and debugging hardware and software issues in a complex cloud infrastructure and datacenter server environments. Such a role provides a unique opportunity to learn leading edge GPU, Servers, Cloud technologies and solutions and growing your career with a key BU (Business Unit) at AMD. THE PERSON: As a member of the Radeon AI & CGVDI customer engineering team you will work directly with the customer to understand, reproduce, and debug any issues they encounter with our product. The ideal candidate will bring broad knowledge/experience of servers, PCIe cards, accelerators, drivers, operating systems, benchmarking, performance analysis, programming and triaging/debugging of software and platform issues. KEY RESPONSIBILITIES: Partner with AMD’s customers to address technical challenges Triaging and debugging software and platform issues in a complex high-end server environment Architect, install and test solutions in-house as required, to ensure successful deployments and evaluations Develop POCs (proof of concept) solutions to demonstrate product capability at the Server and SW stack levels. Partner with other AMD subject matter experts to solve specific customer challenges
You’ll be part of Technical Lead team and take the role of software development engineer for ROCm on Radeon. Work on Radeon AI features readiness including feature enablement, performance optimization, and stack readiness to deliver the best experience for customer’s AI scenarios on AMD’s Radeon products. KEY RESPONSIBILITIES: Work closely with global G&E Software teams and Custom Software Engineering teams to provide support and solution for the enablement of AI features on Radeon products to OEM/ODM/AIB customers. Deploy/Debug/Profile/Optimize AI models on CRB and customer platforms. Have a strong emphasis on meeting requirements regarding features and schedules. Coordinate closely with peers both locally and internationally to ensure timely and effective communication of all assigned work activities. Coach and mentor less experienced staffs. Influence others as a technical leader.
THE ROLE: The right engineer will drive the success of power IP (Intellectual Property) and features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. This is a high-visibility and widely multi-functional role, spanning pre-silicon architecture to post-silicon implementation & product delivery.
THE ROLE: As a Server Customer Platform Application Engineer, you are responsible for customer server system development program technical support from concept to end of life. This includes concept design, schematic and layout review, signal integrity and power in-tegrity, electrical validation, system integration, manufacture, etc. You will provide technical support across platform design, platform debug and system validation to meet program goals of quality platform delivery on schedule at target performance.
• Develop, architect, and implement software solutions for BSP flashing, OTA, secure boot, and testing on Tegra platforms. • Work with the engineering team from concept through implementation of secure solutions, ensuring the successful implementation of new features. • Provide solutions for various software issues in complex systems and applications. • Analyze and optimize system performance to challenge at the highest levels. • Collaborate with multi-functional teams to implement magnificent solutions that solve complex problems.