Applied AI Engineer
SilimateJob Title
Applied AI Engineer
Role Summary
Develop AI-native tools and agent-based systems for frontend semiconductor chip design workflows. The role sits on a small product engineering team at an early-stage startup focused on delivering production ML systems to enterprise and chip-company customers.
Experience Level
Mid-level. The posting does not specify years of experience but expects demonstrated skill shipping ML/LLM-based products and engineering ownership.
Responsibilities
You will build models, software, and product features that integrate AI into chip-design workflows and drive the product roadmap.
- Design and implement AI models, core tools, and infrastructure for frontend chip design.
- Make architecture decisions for key product features and agentic workflows.
- Translate customer feedback into product updates and roadmap priorities.
- Ship high-quality production code and iterate quickly on product features.
Requirements
Core technical must-haves and preferred skills for the role.
- Must-have: Strong software skills in Python and C++.
- Must-have: Experience with PyTorch/torch and building ML pipelines.
- Must-have: Strong understanding of traditional ML models, LLMs, foundation models, and agents; experience fine-tuning and benchmarking LLMs/foundation models.
- Must-have: Proven ability to ship high-quality code quickly; data-driven and first-principles problem solving.
- Preferred: Experience shipping products that use LLMs, foundation models, or agentic workflows.
- Preferred: Experience with AWS SageMaker.
- Nice-to-have: Experience with AI/ML-driven EDA tooling or with chip design workflows.
Education Requirements
Not specified.
About the Company
Company: Silimate
Headquarters: Mountain View, California, United States
Silimate is a technology company focused on developing innovative solutions in the chip and electronic design automation (EDA) sectors. With a commitment to advancing the technology landscape, Silimate integrates cutting-edge software tools for efficient chip design and development.
