Embedded Software Technical Marketing Engineer

Embedded Software Technical Marketing Engineer – AI/ML Posted 2 days ago. Be among the first 25 applicants. At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI, data centers, PCs, gaming and embedded systems. Base Pay Range $66,800.00 / yr – $100,200.00 / yr What You Do As an Embedded Software Technical Marketing Engineer – AI/ML, you’ll work on next‑generation graphics and compute solutions spanning OpenGL ES, Vulkan, OpenCL, and emerging machine learning runtimes including ROCM & ZenDNN. You will develop graphics rendering, GPU compute, and machine learning inference frameworks (PyTorch, ONNX Runtime, MIGraphX, ZenDNN) to shape next‑gen visual and intelligent compute workloads. This is an excellent opportunity for an early‑career engineer with strong programming skills, curiosity about GPU architectures, and an interest in optimizing both graphics and AI models. Key Responsibilities Define, design, and advocate techniques to optimize graphics rendering pipelines and AI inference workloads on GPUs. Work with cross‑functional teams (runtime, driver, hardware, software) to help define features & strategy to optimize software stack components. Bring up and evaluate emerging ML models based on CNNs and Transformers, characterizing power and performance on AMD devices. Collaborate closely with cross‑functional teams to learn & integrate optimized GPU and AI models into production software stacks & resolve customer issues. Develop and validate GPU‑accelerated demo applications showcasing real‑time rendering and neural network inference on hardware for benchmarking. Assist in integrating and validating GPU features across embedded (Zynq, Versal) and x86 (Ryzen) platforms. Create applications, visualization tools, & demo content showcasing graphics and compute capabilities on AMD devices. Develop customer‑facing collateral, document findings, maintain code & test scripts, and support internal technical training & content creation. Preferred Experience Strong programming skills in C/C++ and Python. Academic or project experience in computer graphics, GPU programming, or parallel computing & familiarity with at least two APIs (OpenGL ES, Vulkan, OpenCL, DirectX, CUDA). Exposure to machine learning frameworks (TensorFlow, PyTorch, ONNX), knowledge of model optimization techniques such as quantization, pruning, or architecture search. Exposure to LLMs, diffusion models, or visual AI (e.g., NeRF, text‑to‑image/video) is a plus. Knowledge of GPU pipelines, rendering concepts, and compute shaders. Good to have: understanding of compiler optimizations, network mapping, and kernel performance tuning on GPUs or NPUs. Excellent communication skills & comfort working in a Linux & Bare‑metal development environment and using version control tools (e.g., Git). Academic Credentials Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or Electrical Engineering. Location Vancouver, BC Benefits AMD benefits at a glance. EEO & Diversity Statement 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 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. #J-18808-Ljbffr