Member of Technical Staff - ML Research

Highlights

• Train AI models for chip design, verification, and exploration tasks.
• Co-design custom silicon for next-generation AI workloads.
• Build industry-grade chips taped out on leading foundry tech like TSMC.

What they offer

• Meaningful equity stake
• Fast-paced startup with autonomy and visible impact
• Cutting-edge AI-driven chip design challenges

Ideal candidate

Fast-moving builder with a PhD-level research mindset who loves owning 0→1 projects and bridging cutting-edge AI research with production impact in silicon.

Requirements

• PhD in CS, Computer Engineering, EECS, Mathematics or related field, or BS/MS with strong research engineering background
• Deep expertise in reinforcement learning and post-training, taking models from research to deployment
• Experience building end-to-end ML pipelines, including RL and fine-tuning LLMs and code models
• Strong software engineering skills with large-scale distributed systems and distributed training frameworks
• Adept at analyzing and debugging model training with engineering rigor and reliability
• Fast-moving builder who can prototype, benchmark, and productionize training pipelines