AI Product Engineer
4 weeks ago
Transforming Lives with AMD Technology
At Advanced Micro Devices, Inc., we are dedicated to enriching our industry, communities, and the world through the power of technology. Our mission is to build innovative products that accelerate next-generation computing experiences, from the data center to PCs, gaming, and embedded systems.
Responsibilities:
We are seeking a highly motivated product engineer to own and manage the customer experience for our Software Solutions for ML Inferencing. This role involves facilitating customer onboarding, delivering best-in-class customer experience, and working with R&D, marketing, and key customers to drive the evolution of the product.
The Successful Candidate:
The ideal candidate will have excellent communication skills, capable of presenting problems, solutions, and project status to executive-level stakeholders. They will assume consultative or senior-level responsibilities for large projects or product development initiatives, dealing with internal and external groups on behalf of the group or project.
Key Responsibilities:
Enable end-to-end AI inferencing solution productization by evaluating solutions targeting AMD's CPU/NPU/Embedded devices. This role involves extensive flow and usability analysis and generating performance data for model inferencing flows. Develop use cases, examples, tutorials, and methodology collaterals for AI inference software components and ecosystems. Engage with software developers to collaborate on product development, analyze product/feature specifications and usability to provide early feedback, and understand product/feature usage holistically to identify potential customer pain points. Collaborate with the sales and marketing teams on strategic business engagements. Work closely with R&D to prioritize issues and manage escalations.
PREFERRED EXPERIENCE:
MSEE with 3-10 years (or more) of experience in relevant areas. Experience working with AI frameworks such as PyTorch and ONNX. Work experience with state-of-the-art models in one or more domains: CNN, Transformers, LLMs, Generative AIs. Experience in model analysis (CNN, LLM), performance, benchmarking, and accuracy testing. Experience in quantizing and pruning ML networks is preferred. Experience working on and managing open-source AI projects is preferred. Hands-on experience with Python, C, and C++. Expertise with popular development tools such as Git, CMake, Make, Conda, Docker, VSCode, bash, Linux. Ability to think from the end-user's perspective, understand their needs, and advocate for them. Documentation skills with the ability to present solutions clearly and concisely. Good project management skills. Familiarity with AI inference SDKs (e.g., Vitis AI, TensorRT, OpenVINO, SNPE) or AI accelerators will set you apart from other candidates.
ACADEMIC CREDENTIALS:
Masters in computer engineering or computer science or electrical engineering, or comparable disciplines
LOCATION:
San Jose, CA
Longmont, CO
Qualifications:
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.
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