Our Machine Learning Acceleration (MLA) team develops the SOCs that are used to power today’s AI workloads in datacenters all around the world. As a Frontend ASIC engineer, you’ll contribute to the project at the ground level by automating workflows and developing large-scale solutions that accelerate silicon development - it’s still Day One here at Amazon!

We are seeking an experienced ASIC AI/ML Engineer with deep expertise in AI/ML infrastructure and application development specifically for semiconductor design verification disciplines. The ideal candidate will have a proven track record of delivering end-to-end AI solutions from concept to large-scale production deployment.

In this role, you will collaborate directly with architects, designers, verification engineers, software teams, and backend specialists to define best practices and deploy production-ready AI-driven workflows and applications. Your focus will be on implementing LLM, GenAI, and classical ML solutions that transform our ASIC design verification processes and accelerate our path to tape-out.

Key job responsibilities
• Develop and maintain scalable AI/ML infrastructure for ASIC design and verification teams
• Architect, develop, and deploy production-ready AI/ML applications for semiconductor design workflows
• Design and implement GenAI solutions including LLMs and agentic AI systems for verification processes • Invent innovative AI-driven solutions to eliminate identified inefficiencies in design and verification flows
• Establish best practices and standards for AI/ML application development in semiconductor environments
• Create monitoring and observability frameworks for AI model performance in production design environments
• Collaborate cross-functionally with architects, designers, verification engineers, and software teams
• Research and evaluate emerging AI technologies for applicability to semiconductor design challenges

Basic Qualifications

- Experience with modern ASIC/FPGA design and verification tools
- Developed scalable AI/ML infrastructure for semiconductor design and verification teams
- Creating and maintaining automation frameworks for design or verification
- Practical semiconductor design/verification work experience

Preferred Qualifications

- Master's degree in Electrical Engineering or a related field
- Current on emerging AI technologies for semiconductor design and verification applications
- Proficient in full-stack development and infrastructure for state-of-the-art classic ML and generative AI technologies

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