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We are seeking an experienced and technically skilled Senior x86 Software FAE with expertise in ROCm (Radeon Open Compute) and robotics system integration. The ideal candidate will support embedded and industrial customers developing robotics, AI, and vision systems on AMD x86 platforms with GPU acceleration. This role bridges advanced compute, real-time control, and AI inference deployment to enable cutting-edge robotic applications.
Job Responsibility:
Provide technical support and solution enablement for customers using AMD x86 platforms and ROCm GPU stack in robotics and AI workloads
Collaborate with engineering teams to optimize AI/ML inference pipelines, vision processing, and motion control frameworks on ROCm-enabled hardware
Lead software bring-up, benchmarking, and performance analysis for robotics use cases involving GPU, CPU, and heterogeneous compute
Work closely with ODM/OEM partners on ROCm deployment, driver tuning, and software validation
Act as the technical liaison between customers and internal software/hardware teams to resolve system-level issues
Deliver technical training and workshops on ROCm, HIP, and robotics software stack enablement
Contribute to solution collateral, whitepapers, and reference designs targeting industrial robotics and AI applications
Requirements:
Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or Robotics
8+ years of experience in software engineering, FAE support, or robotics application development
Strong understanding of x86 platform architecture, Linux internals, and hardware/software integration
Hands-on experience with ROCm, HIP, or CUDA programming, as well as GPU-accelerated computing
Familiarity with ROS/ROS 2, perception libraries (OpenCV, PCL), and real-time middleware
Proficiency in C/C++, Python, and Linux shell for development and debugging
Excellent problem-solving and communication skills with a customer-oriented mindset
Nice to have:
Practical experience with AMD GPU compute, ROCm drivers, or firmware enablement
Knowledge in robotic vision, sensor fusion, or edge AI frameworks
Experience with real-time Linux, Docker, and Kubernetes for distributed robotics systems
Strong presentation and project management abilities supporting multi-customer deployments