AI Applications Engineer

Job Title

AI Applications Engineer

Role Summary

Early-career engineering role on AMD's Wired and Wireless Business Team within the Adaptive and Embedded Computing Group (AECG). The role focuses on applying AI techniques to accelerate development, verification, and optimization of FPGA/SoC reference designs and to support AI infrastructure security and edge deployment.

Hybrid position based in San Jose, CA. Travel ~10% for conferences and customer engagements. This role is not eligible for visa sponsorship.

Experience Level

Entry-level / Early-career (early-career role; typically 0–3 years of relevant experience).

Responsibilities

Core technical responsibilities and cross-functional collaboration expected from the role.

• Develop AI-assisted workflows to speed creation, validation, and optimization of FPGA and SoC reference designs.
• Apply AI tools to improve design and verification productivity.
• Fine-tune, evaluate, and optimize open-source AI models for embedded, edge, and security use cases.
• Implement and optimize AI inference on FPGA SoCs, NPUs, and GPUs with attention to performance, latency, power, and resource usage.
• Research and prototype approaches for securing AI infrastructure in enterprise deployments.
• Contribute technical content: benchmarks, proofs-of-concept, recommendations, and roadmaps.
• Collaborate with product, field teams, and customers via presentations and technical knowledge sharing.

Requirements

Must-have core skills and desirable additional experience.

• Hands-on experience in AI/ML engineering, model training, fine-tuning, quantization, and evaluation.
• Strong understanding of machine learning fundamentals, neural networks, optimization techniques, probability, and statistics.
• Proficiency in Python or C/C++ and experience in Linux development environments and Git-based version control.
• Ability to prototype, benchmark, and communicate technical results clearly.
• Comfort working across hardware and software domains and a willingness to learn FPGA/SoC architectures and hardware-level optimization.
• Nice-to-have: familiarity with FPGA design workflows, RTL (Verilog/VHDL), High-Level Synthesis (HLS), embedded systems development, edge AI deployment, AI infrastructure security, or hardware-accelerated computing.

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent; or equivalent practical experience.

About the Company

Company: Advanced Micro Devices

Headquarters: Sunnyvale, California, USA

Advanced Micro Devices, or AMD, is a global semiconductor company that designs and manufactures microprocessors, graphics processors, and related technologies for a variety of computing devices. Known for pushing the boundaries of innovation, AMD's mission is to deliver high-performance computing solutions for AI, data centers, gaming, and embedded applications. They foster a collaborative, inclusive culture focused on creativity and problem-solving, aiming to drive progress and excellence in technology.