Solution Architect Jobs

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Solution Architect
The Role
AMD is seeking an experienced machine learning architect to develop solutions that accelerate developer adoption of AMD Pervasive AI products. Successful candidates will be responsible for analysis and development of machine learning workloads and proof-points that demonstrate end to end value within specific application segments of AMD’s AI portfolio of products. In this capacity, you will help define the roadmap of applications for the expansion of AMD’s Pervasive AI strategy.
You will engage and provide liaison directly with technical teams working on AMD silicon, IP, and machine learning software including compilers, libraries, analysis, and profiling tools, and third party MLOps flows. The other responsibilities will include implementation of system level and microarchitecture level analysis of machine learning architecture trends and providing learned insights to product and technical teams within AMD.
As a member of the Developer Acceleration Team within AMD’s AI Product Management organization, you will have opportunity to work closely with internal stakeholders across the company as well as engage directly with external customers. Close interaction with Engineering, Applications, and Business Unit stakeholders is essential.
The Person
The type of person who will be successful in this role is highly collaborative, and willing to trailblaze and champion new ideas. You will exhibit excellent written and verbal communication skills and you will be highly analytical. Applicants should possess a MS/PhD in EE or equivalent. The position requires comprehensive knowledge of machine learning architectures, models, and developer tools. Prior work experience in accelerated machine learning is required.
Key Responsibilities

• Experience publishing to open source, including Github repositories and industry collaborations
• Develop and deliver machine learning solutions that demonstrate customer value across AMD’s AI product portfolio
• Benchmarking on cloud environments (AWS, GCP, Azure)
• Implementation and training of machine learning models in common frameworks including PyTorch, Keras/Tensorflow, ONNX
• Application profiling with CPU and accelerator tools (VTune, NVprof, etc)
• Integration and development of demonstration/application software
• Experience with HIP, OpenAI Triton, OpenCL, SYCL, Cuda or other kernel development programming flows
• Experience with deployed production runtime serving of machine learning applications
• Developing in Python, C/C++, within Jupyter notebooks
• End to end performance testing and optimization of machine learning workloads

Preferred Experience In Following Skills

• Technical publication within machine learning industry
• Perl/Python/C++ scripting for test automation
• Collaboration with industry standards bodies
• Domain expertise in one or more of the following application domains such as Computer Vision (CV), Robotics, Smart City, Industrial Automation, Autonomous Driving, Natural Language Understanding (NLU/NLP), Graph Analytics, Recommendation Systems, Anomaly Detection, and High Performance Computing (HPC)
• Experience with foundational machine learning model architecture development or implementation including LLMs, Embeddings, Graph Neural Networks, CNNs, Stable Diffusion, ASR, and NLP pipelines

Academic Credentials

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

Location:
CANADA
Benefits offered are described: AMD benefits at a glance.
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.