AI Applications Engineer

What you'll do

• Develop AI-assisted workflows to accelerate the creation, validation, and optimization of FPGA and SoC reference designs.
• Use AI tools and techniques to improve engineering productivity during design and verification processes.
• Fine-tune, evaluate, and optimize open-source AI models for embedded, edge, and security-focused applications.
• Implement and optimize AI inference solutions on FPGA SoCs, NPUs, and GPUs while balancing performance and power.
• Research and prototype innovative solutions for securing AI infrastructure deployments in enterprise environments.
• Generate technical content, benchmarks, and proof-of-concepts to support product strategy and technology roadmaps.
• Contribute to industry and open-source communities focused on AI, embedded computing, and security technologies.

What we're looking for

• Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or a related field.
• Experience in AI/ML engineering, applied research, software productivity initiatives, or related technical fields.
• Hands-on experience with training, fine-tuning, quantization, and evaluation of open-source AI models.
• Strong understanding of machine learning fundamentals, neural networks, optimization techniques, probability, and statistics.
• Proficiency in Python or C/C++, Linux development environments, and Git-based version control.
• Familiarity with FPGA design methodologies, RTL development (Verilog/VHDL), High-Level Synthesis (HLS), or embedded systems development.
• Exposure to edge AI deployment, AI model optimization, AI infrastructure security, or hardware-accelerated computing is preferred.