Applied AI Engineer
Hybrid (Mountain View, CA / San Francisco, CA)$140k - $220kFull-timePosted 2mo ago
About the role
Engineer role focused on AI/ML and LLMs to build AI-native core tools and agents for frontend chip design workflows at Silimate.
Responsibilities
- Develop AI models, core tools, and infrastructure that ship to Fortune enterprises and chip unicorns
- Make architectural decisions for key product features
- Translate user feedback into product updates/features
- Plan core product roadmap and strategy
Qualifications
- Highly skilled with Python, C++, PyTorch/torch
- Strong understanding of traditional ML models, LLMs, foundation models, and agents
- Experience building ML pipelines
- Experience fine-tuning and benchmarking LLMs/foundation models
- Excited about applying AI/ML techniques to chip design
- Good at shipping high-quality code quickly
- Resilient, data-driven, and works from first principles
Skills
Required:PythonC++PyTorch/torch
Benefits
- Generous salary and equity package
- Full health/vision/dental/401k benefits
- Team meals
Last updated Aug 5, 2026. Interested? Apply on the company site.
About Silimate
The copilot for chip designers
Silimate is the copilot for chip designers; it finds and fixes functional and PPA issues in your chip designs. Today, chip teams spend most of their 12-18 month design cycles converging slowly to functional correctness and their targeted PPA (power/performance/area). With Silimate, chip designers create correct, PPA-converged RTL code in minutes and eliminate months from their tape out schedule.
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