Founding Member of Technical Staff

About the Company

Architect is a frontier AI research and product lab for chip design. Born out of Stanford, our team blends researchers and engineers from Anthropic, Google DeepMind, NVIDIA, Meta SuperIntelligence Labs, Apple, and Intel to reimagine chip design using AI.

Responsibilities

• Co-design and implement Reinforcement Learning environments, algorithms, and Reward Models
• Implement, scale, and improve post-training techniques for chip design tasks like RTL code generation
• Design and run robust pipelines for model fine-tuning and evaluation
• Own the end-to-end RL workflow from reward modeling to test-time optimization

Requirements

• PhD in CS, EECS, Math, or related field (or BS/MS with strong research engineering background)
• Deep expertise in reinforcement learning and post-training techniques
• Strong software engineering skills with experience in large-scale distributed systems and PyTorch

Preferred Qualifications

• Experience at frontier labs like OpenAI, Anthropic, or DeepMind
• Foundation in Electrical/Computer Engineering or chip-design processes
• Publications in top ML (NeurIPS, ICLR) or EDA (DAC, ICCAD) venues

Benefits

• Competitive salary
• Meaningful equity stake
• High autonomy in a fast-paced startup environment