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Computational Design Engineer: EDA

4 weeks 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:

  1. Develop and implement numerical simulations and optimization algorithms to solve complex engineering problems.
  2. Collaborate with machine learning experts and customers in the semiconductor industry to develop AIR.
  3. Seamlessly integrate with industry-standard design tools like Cadence through APIs, facilitating automated design workflows.
  4. Ensure designs meet stringent performance, power, and area specifications through rigorous simulations and analyses.
  5. Keep abreast of the latest developments in scientific programming, optimization techniques, and EDA tool functionalities.

Qualifications:

  1. Advanced degree (MSc or higher) in Electrical Engineering, Computer Science, Physics, or a related field with a strong emphasis on numerical methods.
  2. 3+ years of experience in scientific programming related to hardware design, including experience with optimization and autodifferentiation techniques.
  3. Proficiency in interfacing with EDA tools (e.g., Cadence) through APIs.
  4. Solid understanding of semiconductor physics and VLSI design principles.
  5. Familiarity with programming languages such as Python, MATLAB, and hardware description languages like Verilog/VHDL.
  6. Demonstrated ability to work collaboratively in a multidisciplinary team.
  7. Excellent analytical and problem-solving skills.
  8. Excellent written and oral communication skills.

What We Offer:

  1. A competitive compensation package, including equity in a VC-backed startup.
  2. Comprehensive benefits, and a flexible PTO policy.
  3. An opportunity to be part of a groundbreaking company from its stealth phase through to public launch and beyond.
  4. The opportunity to work on pioneering projects that blend scientific research with practical hardware design.
  5. A culture of learning & innovation ideal for professional development.
  6. A fast-paced, highly dynamic and interdisciplinary work environment.
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