Research Engineer: AI Inference on Stochastic Hardware

Drive Capital; København; On-site; DKK 600,000 - 900,000; Full time

Job summary

Normal Computing is an applied AI company solving hard problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions.

We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. This co-design role lets you influence architectural decisions as hardware evolves from simulation to

Qualifications

• Deep understanding of large model inference: attention mechanisms, KV cache, long-context decoding, memory bandwidth constraints.
• Experience with inference optimization: quantization, sparsity, kernel fusion, or memory-efficient attention.
• Familiarity with stochastic systems, probabilistic methods, numerical analysis, or analog computation.
• Experience implementing algorithms close to hardware, not just in high-level frameworks.

Responsibilities

• Develop algorithms for transformer inference workloads running on stochastic analog processing-with-memory hardware.
• Work directly with hardware and architecture teams to shape what the chip can and should compute natively.
• Design numerical methods that exploit thermal noise and analog dynamics.
• Build evaluation frameworks and benchmarks that characterize algorithm behavior on real hardware or simulation.
• Translate insights about model workloads into constraints and opportunities for hardware design.
• Prototype and iterate rapidly as hardware evolves from simulation to silicon.
• Optimize performance at both gate level and algorithmic level.

Skills

Attention mechanisms

KV cache

Long-context decoding

Memory bandwidth

Python

Systems programming

Hardware-software co-design

Numerical methods

Education

PhD preferred in ML / mathematics / physics / EE

Tools

Simulation

Job description

Normal Computing is an applied AI company solving hard problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions.

We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. This co-design role lets you influence architectural decisions as hardware evolves from simulation to