Job Description

Join the Frontier of AI-Driven Hardware Design

A growing AI research Lab are looking for a Researcher to add to lead Post-Training efforts as they look to impact a Trillion Dollar industry.

About Us

Founded by leading minds from top universities and industry labs, our team brings together AI researchers and engineers from organizations like DeepMind, Meta, Apple, and Anthropic We’re backed by world-class investors, including renowned scientists, professors, and founders across the AI space. Here, you’ll work alongside pioneers at the intersection of machine learning and hardware, building the intelligence layer for tomorrow’s computing revolution.

Your Role: Founding AI Researcher (ML)

As a founding member of our technical team, you’ll be at the heart of developing and deploying AI models that transform hardware design. You’ll tackle challenges like code generation and multimodal reasoning—building multi-agent systems that can radically change hardware design forever. This is a hands-on, 0→1 opportunity: you’ll own Post-Training efforts alongside a highly experienced Head of AI working on novel RL ideas to support Post-Training breakthroughs working alongside an incredibly talent dense team growing exponentially.

What We’re Looking For

• Academic Background: PhD in Computer Science, EECS, Mathematics, or a related field (or BS/MS with strong research engineering experience at leading labs or startups).
• AI/ML Expertise: Deep experience building end-to-end ML pipelines, including data curation, model training, and post-training using RL. Proven ability to take models from research to real-world deployment.
• Technical Skills:
• Hands-on with LLM/VLM deployment (vLLM, sgLang, LM Studio, Ollama, etc.) and distributed training (QLoRA, ZeRO, CUDA, PyTorch Parallelism).
• Experience with RL post-training workflows, reward modeling, and environment design.
• Track record in code generation, reasoning, and tool use—especially in structured domains.
• Builder Mindset: Fast-moving, able to prototype, benchmark, and productionize ML pipelines with tight feedback loops.
• Passion: Excited to push the state-of-the-art in AI for real-world engineering challenges.
• Bonus Points:
• Experience at leading AI labs (OpenAI, DeepMind, Anthropic, etc.).
• Publications in top ML conferences.

Why Join Us?

• Ownership: Significant autonomy and a meaningful equity stake.
• Growth: Work with a world-class team on cutting-edge challenges.
• Culture: Fast-paced, collaborative, and mission-driven environment.

Ready to help define how AI will design the hardware of tomorrow? Apply now and join us at the frontier of AI and hardware innovation!

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