Photonics Designer

1 month ago


Old Toronto Ontario, CA Recooty Full time

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:





-Collaborate with machine learning experts and customers in the semiconductor industry to develop Automated Interpretable Reasoning engine

-Test methodologies to automate design and measurement workflows

-Collaborate with partners to develop selected aspects of the product





Qualifications:





-M.S. or Ph.D. (or equivalent) in electrical engineering, applied physics, or a related discipline

-Expert knowledge in the simulation, design, layout, and testing of integrated photonic circuits

-Experienced with the design-fab-test cycles using photonic foundries

-Expertise in designing high-performance, low-power photonic devices for various applications

-Experience in machine learning methods

-Proficiency in optical simulation software, such as Ansys Lumerical, COMSOL, or similar, and programming in Python

-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 opportunity 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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