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.
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.
Requirements:
– 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.
– 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.
This position is open to all candidates.
