ASIC AIML Engineer, Annapurna Labs, MLA SOC, Methodology & Infrastructure
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Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Our Machine Learning Acceleration (MLA) team develops the SOCs that are used to power todays AI workloads in datacenters all around the world. As a Frontend ASIC engineer youll contribute to the project at the ground level by automating workflows and developing large-scale solutions that accelerate silicon development - its 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
- 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
- Masters 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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
- 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
- Masters 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
About Company
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