AI Runtime Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

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The Role 

We are building IREE as an open-source compiler and runtime solution to productionize ML on a variety of usage scenarios and hardware targets. Among them, having wide and performant GPU support is critical. We aim at a broad range of GPU coverage, from mobile to datacenter, via a unified software stack. It requires us to write the most efficient code to interact with the OS and device drivers with minimal dependency and small binary size. There will be no short of intriguing technical challenges to tackle, and there are abundant chances to collaborate with industry experts working at different layers of the stack. If this sounds interesting to you, please don’t hesitate to reach out to us! 

The Person 

An ideal candidate should be familiar with GPU runtime APIs, GPU drivers, GPU architectures, OS, parallel/asynchronous programming, efficient resource management. He/she should be comfortable at performing quantitative analysis of workload and drive improvements at suitable software stack layers. Most importantly, the candidate is willing to learn and work across boundaries. 

Key Responsibilities: 

• Design, develop, and maintain GPU related runtime implementations in IREE over HIP, CUDA, Vulkan, DirectX, Metal. 
• Design, develop, and maintain multi-GPU runtime and communication solutions including collectives 
• Manage testing and releasing of runtime components 
• Quantitively analyze end-to-end model performance, identify bottlenecks, propose ideas to improve, prototype and productionize solutions 
• Design and implement compiler passes to better schedule and utilize resources 
• Design and implement Python interactions with runtime components 
• Drive towards general solutions that benefit different all GPU targets and the overall community 

Preferred Experience:

• Experience with GPU APIs (HIP, CUDA, Vulkan, DirectX, Metal) 
• Understanding of GPU architectures 
• Understanding of parallel/asynchronous programming 
• Familiarity with operating system internals and resource management 
• Understanding of game engine internals 
• Experience with various system debugging/benchmarking/profiling tools 
• Strong C/C understanding and skills 
• Familiarity with IREE, MLIR, LLVM, SPIR-V or other compiler technologies 
• Open-source development ethos 

Preferred Academic Credentials 

BS/MS (Computer Science, Computer Engineering, Electrical Engineering, or related equivalent)  

Location: 
San Jose CA / Seattle WA / Toronto ON

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At AMD, your base pay is one part of your total rewards package.  Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.