Software Engineer, AI Compiler

About this role

Normal Computing | Incredible Opportunities

The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London.

Your Role in Our Mission:

We're building an AI accelerator from the ground up, and we need a strong ML compiler engineer to be at the heart of hardware-software co-design. This isn't about inheriting a mature compiler stack - it's about creating one.

You'll join at the architecture definition stage, directly influencing ISA design and the trade-offs that determine what our hardware can do. As we progress toward hardware bringup, you'll build the complete compiler toolchain that takes machine learning models from high-level frameworks down to efficient execution on our novel architecture.

This role offers the rare opportunity to shape both silicon and software simultaneously. You'll work alongside hardware architects and researchers to co-design compiler strategies that unlock the full potential of our accelerator, building infrastructure that bridges the gap between ML model graphs and custom ISA primitives. Your compiler decisions will directly inform hardware features, and hardware capabilities will open new optimisation frontiers for your toolchain.

If you want to architect a compiler stack from first principles, optimise ML workloads on new hardware, and see your decisions realised in silicon, this is the role.

Responsibilities:

• Work across the full stack with software, systems, and hardware teams to ensure correctness, performance, and deployment readiness for real workloads
• Contribute to shaping the long-term compiler architecture and tooling strategy in a fast-moving startup environment
• Design and implement parts of the compiler stack targeting our novel AI accelerator, including front-end lowering, IR...