Axiomatic_AI's mission:
Axiomatic_AI is launching with the aim to accelerate R&D; by "Automated Interpretable Reasoning" (AIR) – a verifiably truthful AI model built for reasoning in science and engineering. Axiomatic_AI is hiring top talent interested in a future of human reasoning aided by – not replaced by – AI, and a future that empowers a new generation of innovators to solve important problems through deep-tech engineering in the semiconductor ecosystem.

Responsibilities:

Develop and implement numerical simulations and optimization algorithms to solve complex engineering problems

Collaborate with machine learning experts and customers in the semiconductor industry to develop AIR

Seamlessly integrate with industry-standard design tools like Cadence through APIs, facilitating automated design workflows

Ensure designs meet stringent performance, power, and area specifications through rigorous simulations and analyses

Keeping abreast of the latest developments in scientific programming, optimization techniques, and EDA tool functionalities

Qualifications:

Advanced degree (MSc or higher) in Electrical Engineering, Computer Science, Physics, or a related field with a strong emphasis on numerical methods





3+ years of experience in scientific programming related to hardware design, including experience with optimization and autodifferentiation techniques

Proficiency in interfacing with EDA tools (e.g., Cadence) through APIs

Solid understanding of semiconductor physics and VLSI design principles

Familiarity with programming languages such as Python, MATLAB, and hardware description languages like Verilog/VHDL

Demonstrated ability to work collaboratively in a multidisciplinary team

Excellent analytical and problem‑solving skills

Excellent written and oral communication skills

What We Offer:

A competitive compensation package, including equity in a VC‑backed startup

Comprehensive benefits, and a flexible PTO policy

An chance to be part of a groundbreaking company from its stealth phase through to public launch and beyond

The opportunity to work on pioneering projects that blend scientific research with practical hardware design

A culture of learning & innovation ideal for professional development

A fast‑paced, highly dynamic and interdisciplinary work environment

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📌 Computational Design Engineer: EDA & Scientific Computing (Ontario)
🏢 Axiomatic-AI
📍 Ontario