AMD is looking to drive end-to-end delivery of leading-edge AI SW technology stack across several AI platforms to tackle real-world inference problems.
Requirements
- Experience program running Linux and Windows based products is a plus.
- Experience using tools such as JIRA, JAMA, Confluence, SharePoint, MS-Project, Jenkins & Robot Frameworks
- Experience with AI/ML strongly desired
- Experience in Virtualization frameworks (Linux KVM, etc.) is desired
- Experience in Containerization frameworks (Docker etc.)
- Software development experience
Responsibilities
- Work closely with engineering managers, software developers, and product managers to drive project planning and execution of multiple dynamic software development projects
- Defines, comprehensive plans and drives projects and program plans based on management and senior technical mentorship
- Scope technical feasibility of new Products by clarifying and analyzing requirements with SW/HW Architects, Technical Leads and SW Engineers
- Develop SW program schedule by considering various Driver, SW Stack components and HW/FW dependencies, negotiate and build a Staffing Plan that supports the schedule
- Driving the development and execution of project plans and schedules; to develop and improve processes for project tracking and risk mitigation.
- Investigate technical aspects of the program: help drive details in compiler, runtime, and tools software development teams
- Lead across several functional organizations, including business units, other engineering organizations, and finance/operations
Other
- As program manager in AMD’s AIG Software engineering team, you will drive end-to-end delivery of leading-edge AI SW technology stack across several AI platforms.
- You will interact with product management, customers, software and hardware engineering teams, quality assurance and operations in a new and growing team.
- The successful candidate in this role will be a self-starter, self-motivated, upbeat, quick learner who is passionate about new technology in addition to being results-oriented and able to get things done.
- They will be able to resolve ambiguity and adapt to changes in a dynamic environment.
- Drawing on their engineering background and proven experience in delivering software, the ideal candidate will be an excellent communicator who can engage with key partners at all levels, from driving technical discussions to leading executive program reviews.
