# Junior System Modeling at Unconventional AI

- Company: Unconventional AI
- What the company does: Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. Backed by Lightspeed, Sequoia and a16z.
- Company website: https://unconv.ai/
- Type: Startups (AI role)
- Level: Entry level
- Location: Mountain View, CA I US Remote
- Work setup: Remote
- Posted: 2026-04-01
- Apply by: 2026-10-12
- Apply: https://unconv.ai/careers/?gh_jid=4206025009
- Page: https://www.1752.vc/careers/jobs/unconventional-ai-junior-system-modeling/

## About the role

We are rethinking the foundations of the computer to optimize energy efficiency for AI. Founded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. We recently raised $475M in seed funding to turn this vision into reality.

## What they're looking for

- Strong Systems Foundation: A BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field. You should have a deep understanding of computer architecture and operating systems
- Coding Proficiency: Strong skills in C++ and Python . You should be comfortable writing performance-critical code
- AI/ML Exposure: Basic familiarity with the internals of deep learning frameworks (e.g., how a PyTorch graph is executed) and common model architectures
- Mathematical Intuition: A solid grasp of linear algebra and calculus, which are essential for understanding both neural dynamics and hardware optimizations
- First Principles Mindset: You enjoy digging into "why" things work (or don't) and aren't afraid to challenge conventional software "best practices" to find a more efficient path

Tags: Engineering